Dr. Magdalene Marinaki  
 
  HOME PUBLICATIONS       CONTACT  
 
 

 

PUBLICATIONS

  • Books : 4
  • Journal Papers: 51
  • Sum of the Impact Factors (year of publication): 95.496
  • Average of the Impact Factors (year of publication): 2.031
  • Sum of the Impact Factors (2018): 190.395
  • Average of the Impact Factors (2018): 4.05
  • Sum of the Five Year Impact Factors: 181.613
  • Average of the Five Year Impact Factors: 3.864
  • Sum of the Source Normalized Impact per Paper (SNIP): 76.629
  • Average of the Source Normalized Impact per Paper (SNIP): 1.63
  • Sum of the SJR: SCImago Journal Rank: 43.59
  • Average of the SJR: SCImago Journal Rank: 0.927
  • Papers in Lecture Notes, Books and International Conferences: 76
  • Papers’ Abstracts in International Conferences: 25
  • Papers in National Conferences: 2
  • Papers’ Abstracts in National Conferences: 4
  • Total Citations:
  • Google Scholar: 3596, h-index: 30, i10-index: 63 (last update 11/01/2022)
  • Scopus: 2040, h-index: 24
  • Web of Science: 866, h-index: 17

 

BOOKS

 

  • Yannis Marinakis, Magdalene Marinaki and Athanasios Migdalas (2019), Vehicle Routing Problems in Supply Chain Management: Formulations and Solution Methods, New Technologies Publisher, pages 490, ISBN: 978-960-578-056-2 (in Greek).
  • Marinakis, Y., Marinaki, M., Matsatsinis, N.F., Zopounidis, C. (2010), Metaheuristic and Evolutionary Algorithms in Management Science Problems¸ Klidarithmos, p. 528,  Athens, ISBN 978-960-461-422-6
  • Marinakis, Y., Marinaki, Μ.: Mathematical theory of optimization. New Technologies Edition, Athens. Translation in Greek of the Book: «Du D.-Z., Pardalos, P. M., and Wu., W. Mathematicaltheoryofoptimization. Nonconvex optimization and its applications, Kluwer Academic Publishers, 2001», p. 348, 2005, ISBN: 960-8105-79-X.
  • Marinaki, M., Papageorgiou, M.: Optimal real-time control of sewer networks. Springer-Verlag London Ltd, p. 161, 2005, ISBN: 1-85233-894-6.

 

EDITING OF A SCIENTIFIC VOLUME OF A JOURNAL

  • N.F. Matsatsinis, M. Marinaki, Y. Marinakis, P.M. Pardalos (2021). Guest editorial: Revised selected papers from the LION 13 conference, Annals of Mathematics and Artificial Intelligence, 89, 737-739.

 

JOURNAL PAPERS 

 

  • N.A. Kyriakakis, I. Sevastopoulos, M. Marinaki, Y. Marinakis (2022), A hybrid Tabu Search – Variable Neighborhood Descent Algorithm for the Cumulative Capacitated Vehicle Routing Problem with Time Windows in Humanitarian Applications, Computers and Industrial Engineering, 164, 107868.
  • N.A. Kyriakakis, M. Marinaki, N. Matsatsinis, and Y. Marinakis (2021), A Cumulative Unmanned Aerial Vehicle Routing Problem Approach for Humanitarian Coverage Path Planning. European Journal of Operational Research, (available on line).
  • D. Trachanatzi, M. Rigakis, M. Marinaki, and Y. Marinakis (2021), A teaching–learning-based optimization algorithm for the environmental prize-collecting vehicle routing problem. Energy Systems, https://doi.org/10.1007/s12667-021-00477-1.
  • N.A. Kyriakakis, M. Marinaki, N. Matsatsinis, and Y. Marinakis (2021), Moving peak drone search problem: An online multi-swarm intelligence approach for UAV search operations. Swarm and Evolutionary Computation, 66, 100956.
  • M. Rigakis, D. Trachanatzi, M. Marinaki and Y. Marinakis (2021), “Tourist Group Itinerary Design: When the Firefly Algorithm Meets the n-Person Battle of Sexes”, Knowledge-Based Systems, 228, 107257.
  • N.A. Kyriakakis, M. Marinaki and Y. Marinakis (2021), “A Hybrid Ant Colony Optimization – Variable Neighborhood Descent Approach for the Cumulative Capacitated Vehicle Routing Problem”, Computers & Operations Research, 134, 105397.
  • D. Trachanatzi, M. Rigakis, M. Marinaki and Y. Marinakis (2020), “An Interactive Preference-Guided Firefly Algorithm for Personalized Tourist Itineraries”, Expert Systems with Application, 159, 113563.
  • D. Trachanatzi, M. Rigakis, M. Marinaki and Y. Marinakis (2020),  “A Firefly Algorithm for the Environmental Prize-Collecting Vehicle Routing Problem”, Swarm and Evolutionary Computation, 57, 100712.
  • D. Trachanatzi, M. Rigakis, M. Marinaki, Y. Marinakis and N. Matsatsinis (2020), “Distance Related: a procedure for applying directly Artificial Bee Colony algorithm in routing problems”, Soft Computing, 24, 9071-9089.
  • Tsakirakis, E., Marinaki, M., Marinakis, Y. and N. Matsatsinis (2019), “A Similarity Hybrid Harmony Search Algorithm for the Team Orienteering Problem”, Applied Soft Computing, 80, 776-796.
  • Marinakis, Y., Marinaki, M. and A. Migdalas (2019), “A Multi-Adaptive Particle Swarm Optimization for the Vehicle Routing Problem with Time Windows”, Information Sciences, 481, 311-329.
  • Y. Marinakis, M. Marinaki and A. Migdalas (2017), “An Adaptive Bumble Bees Mating Optimization algorithm”, Applied Soft Computing, 55, 13-30.
  • I.D. Psychas, M. Marinaki, Y. Marinakis and A. Migdalas (2016), “Non-dominated Sorting Differential Evolution Algorithm for the Minimization of Route based Fuel Consumption Multiobjective Vehicle Routing Problems”, Energy Systems, DOI: 10.1007/s12667-016-0209-5, (available on line).
  • M. Marinaki and Y. Marinakis (2016), “A Bumble Bees Mating Optimization Algorithm for the Feature Selection Problem”, International Journal of Machine Learning and Cybernetics, 7(4), 519-538.
  • I.D. Psychas, M. Schauer, J.U. Bohrnsen, M. Marinaki, Y. Marinakis, S.C. Langer and G.E. Stavroulakis (2016), “Detection and Differentiation of Defective Pile Geometries using a Coupled FEM/SBFEM Approach and an Ant Colony Classification Algorithm”, Acta Mechanica, 227(5), 1279-1291.
  • Y. Marinakis, M. Marinaki and A. Migdalas (2016), “A Hybrid Clonal Selection Algorithm for the Location Routing Problem with Stochastic Demands”, Annals of Mathematics and Artificial Intelligence, 76(1), 121-142.
  • M. Marinaki and Y. Marinakis (2016) “A Glowworm Swarm Optimization Algorithm for the Vehicle Routing Problem with Stochastic Demands”, Expert Systems with Applications, 45, 145-163.
  • M. Marinaki and Y. Marinakis (2015), “A Hybridization of Clonal Selection Algorithm with Iterated Local Search and Variable Neighborhood Search for the Feature Selection Problem”, Memetic Computing, 7, 181-201.
  • Y. Marinakis and M. Marinaki (2015), “Combinatorial Neighborhood Topology Bumble Bees Mating Optimization for the Vehicle Routing Problem with Stochastic Demands”, Soft Computing, 19, 353-373.
  • M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2015), “Fuzzy Control Optimized by a Multi-Objective Differential Evolution Algorithm for Vibration Suppression of Smart Structures”, Computers and Structures, 147, 126-137.
  • Υ. Marinakis and M. Marinaki (2014), “A Bumble Bees Mating Optimization Algorithm for the Open Vehicle Routing Problem”, Swarm and Evolutionary Computation, 15, 80-94.
  • Y. Marinakis and M. Marinaki (2013), “Particle Swarm Optimization with Expanding Neighborhood Topology for the Permutation Flowshop Scheduling Problem”, Soft Computing, 17(7), 1159-1173. 
  • Y. Marinakis, G.R. Iordanidou and M. Marinaki (2013), “Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands”, Applied Soft Computing, 13, 1693-1704.
  • M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2011), “Vibration Control of Beams with Piezoelectric Sensors and Actuators using Particle Swarm Optimization”, Expert Systems with Applications, 38, 6872-6883.
  • M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2011), “Fuzzy Control Optimized by a Multi-Objective Particle Swarm Optimization Algorithm for Vibration Suppression of Smart Structures”, Structural and Multidisciplinary Optimization, 43, 29-42.
  • Y. Marinakis, M. Marinaki and G. Dounias (2011), “Honey Bees Mating Optimization Algorithm for the Euclidean Traveling Salesman Problem”, Information Sciences, 181, 4684-4698.
  • Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis (2011), “A Hybrid ACO-GRASP Algorithm for Clustering Analysis”, Annals of Operations Research, 188, 343-358.
  • Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis (2011), “Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems”, International Journal of Applied Metaheuristic Computing, 2(1), 1-17.
  • M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2010), “Fuzzy Control Optimized by PSO for Vibration Suppression of Beams”, Control Engineering and Practice, 18, 618-629.
  • Y. Marinakis, M. Marinaki and G. Dounias (2010), “A Hybrid Particle Swarm Optimization Algorithm for the Vehicle Routing Problem”, Engineering Applications of Artificial Intelligence, 23, 463-472.
  • M. Marinaki, Y. Marinakis and C. Zopounidis (2010), “Honey Bees Mating Optimization Algorithm for Financial Classification Problems”, Applied Soft Computing, 10, 806-812.
  • Y. Marinakis and M. Marinaki (2010), “A Hybrid Genetic - Particle Swarm Optimization Algorithm for the Vehicle Routing Problem”, Expert Systems with Applications, 37, 1446-1455.
  • Y. Marinakis, M. Marinaki and G. Dounias (2010), “Honey Bees Mating Optimization Algorithm for Large Scale Vehicle Routing Problems”,
    Natural Computing, 9, 5-27.
  • Y. Marinakis and M. Marinaki (2010), “A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for the Probabilistic Traveling Salesman Problem”, Computers and Operations Research, 37, 432-442.
  • Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis (2009), “Ant Colony and Particle Swarm Optimization for Financial Classification Problems”, Expert Systems with Applications, 36(7), 10604-10611.
  • M. Doumpos, Y. Marinakis, M. Marinaki and C. Zopounidis, (2009). “An Evolutionary Approach to Construction of Outranking Models for Multicriteria Classification: The Case of the ELECTRE TRI Method”, European Journal of Operational Research, 199, 496-505.
  • Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis (2009), “Evolution of the Population of a Genetic Algorithm using Particle Swarm Optimization: Application to Clustering Analysis”, Operational Research, An International Journal, 9, 105-120.
  • Y. Marinakis, M. Marinaki, G. Dounias, J. Jantzen and B. Bjerregaard (2009), “Intelligent and Nature Inspired Optimization Methods in Medicine: The Pap-Smear Cell Classification Problem”, Expert Systems. The Journal of Knowledge Engineering, 26(5), 433-457.
  • M. Marinaki, Y. Marinakis and C. Zopounidis (2008), “A Memetic Algorithm for the Identification of Firms Receiving Qualified Audit Reports”, Journal of Computational Optimization in Economics and Finance, 1(1), 59-71.
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2008), “A Stochastic Nature Inspired Metaheuristic for Clustering Analysis”, International Journal of Business Intelligence and Data Mining, 3(1), 30-44.
  • Y. Marinakis and M. Marinaki (2008), “A Particle Swarm Optimization Algorithm with Path Relinking for the Location Routing Problem”, Journal of Mathematical Modelling and Algorithms , 7(1), 59-78.
  • Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2008), “A Hybrid Stochastic Genetic-GRASP Algorithm for Clustering Analysis”, Operational Research, An International Journal, 8(1), 33-46.
  • Y. Marinakis, M. Marinaki and G. Dounias (2008), “Particle Swarm Optimization for Pap-Smear Diagnosis”, Expert Systems with Applications, 35, 1645-1656.
  • Y. Marinakis, M. Marinaki and C. Zopounidis (2008), “Application of Ant Colony Optimization to Credit Risk Assessment”, New Mathematics and Natural Computation, 4(1), 107-122.
  • M. Marinaki, Y. Marinakis, M. Doumpos, N. Matsatsinis and C. Zopounidis (2008), “A Comparison of Several Nearest Neighbor Classifier Metrics Using Tabu Search Algorithm for the Feature Selection Problem”, Optimization Letters, 2(3), 299-308.
  • Y. Marinakis and M. Marinaki (2008), “A Bilevel Genetic Algorithm for a Real Life Location Routing Problem”, International Journal of Logistics: Research and Applications, 11(1), 49-65.
  • Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis (2008), “Optimization of Nearest Neighbor Classifiers via Metaheuristic Algorithms for Credit Risk Assessment”, Journal of Global Optimization, 42, 279-293.
  • M. Marinaki, Y. Marinakis and C. Zopounidis (2007), “Application of a Genetic Algorithm for the Credit Risk Assessment Problem”, Foundations of Computing and Decisions Sciences, 32(2), 139-152.
  • M. Marinaki, M. Papageorgiou and A. Messmer (1999), “Multivariable Regulator Approach to Sewer Network Flow Control”, ASCE Journal of Environmental Engineering, 125(3), 267-276.
  • M. Marinaki and M. Papageorgiou (1999), A Non-Linear Optimal Control Approach to Central Sewer Network Flow Control, International Journal of Control, 72(5), 418-429.
  • M. Marinaki and M. Papageorgiou (1997), Central Flow Control in Sewer Networks, ASCE Journal of Water Resources Planning and Management, 123(5), 274-283.

 

PAPERS IN LECTURE NOTES, BOOKS AND INTERNATIONAL CONFERENCES

 

  • E. Rapanaki, I.D. Psychas, M. Marinaki, Y. Marinakis (2021). A Glowworm Swarm Optimization Algorithm for the Multi-Objective Energy Reduction Multi-Depot Vehicle Routing Problem. Handbook of AI-based Metaheuristics (Eds. A.J. Kulkarni and P. Siarry) CRC Press, 341-360.
  • M. Marinaki, Y. Marinakis (2021). A Bumble Bees Mating Optimization Algorithm for the Location Routing Problem with Stochastic Demands. Handbook of AI-based Metaheuristics (Eds. A.J. Kulkarni and P. Siarry) CRC Press, 323-340.
  • E. Rapanaki, I.D. Psychas, M. Marinaki, N. Matsatsinis, Y. Marinakis (2020). A Krill Herd Algorithm for the Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem. Machine Learning, Optimization, and Data Science, LOD 2020. Lecture Notes in Computer Science, vol 12565. Springer, 434-447. (6th International Conference LOD 2019, 19 – 23 July 2020, Sienna, Tuscany, Italy).
  • E. Tsakirakis, M. Marinaki, N. Matsatsinis, Y. Marinakis (2020) Honey Bees Mating Optimization Algorithm for the Berth Allocation Problem. Proceedings of the XIV Balcan Conference on Operational Research, 377-381. (Virtual Balcor – 30 September – 3 October 2020).
  • M. Rigakis, D. Trachanatzi, M. Marinaki, Y. Marinakis (2020) A Hybrid Firefly Algorithm Based on Cordinates for the Prize Collecting Vehicle Routing Problem, Operational Research in Agricultural and Tourism, Springer, 145-167.
  • E. Tsakirakis, M. Marinaki, Y. Marinakis (2020) A Similarity Hybrid Harmony Search Algorithm for the Orienteering, E. Krassadaki et al. (eds), Operational Research in Agricultural and Tourism, Springer, 197-218.
  • D. Trachanatzi, M. Rigakis, M. Marinaki, Y. Marinakis (2020) A Discrete Inspired Bat Algorithm for Firetruck Dispatch in Emergency Situations, M. Gocic et al. (eds.), Natural Risk Management and Engineering, Springer Tracts in Civil Engineering, 203-223.
  • E. Rapanaki, I.D. Psychas, M. Marinaki, Y. Marinakis (2020) An Artificial Bee Colony Algorithm for the Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem.  Matsatsinis N., Marinakis Y., Pardalos P. (Eds) Learning and Intelligent Optimization. LION 2019. Lecture Notes in Computer Science, vol 11968. Springer, 208-223 (13th International Conference LION 2019, May 27-31, 2019, Chania, Greece.
  • D. Trachanatzi, M. Rigakis, A. Taxidou, M. Marinaki, Y. Marinakis, N. Matsatsinis (2020) A Novel Solution Encoding in the Differential Evolution Algorithm for Optimizing Tourist Trip Design Problems.  Matsatsinis N., Marinakis Y., Pardalos P. (Eds) Learning and Intelligent Optimization. LION 2019. Lecture Notes in Computer Science, vol 11968. Springer, 253-267 (13th International Conference LION 2019, May 27-31, 2019, Chania, Greece.
  • E. Tsakirakis, M. Marinaki, Y. Marinakis (2020) A Hybrid Variation Harmony Search Algorithm for the Team Orienteering Problem with Capacity Limitations. Matsatsinis N., Marinakis Y., Pardalos P. (Eds) Learning and Intelligent Optimization. LION 2019. Lecture Notes in Computer Science, vol 11968. Springer, 146-156 (13th International Conference LION 2019, May 27-31, 2019, Chania, Greece.
  • Y. Marinakis, M. Marinaki (2019) An Adaptive Parameter Free Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem. Nicosia G., Pardalos P., Umeton R., Giuffrida G., Sciacca V. (Eds) Machine Learning, Optimization, and Data Science. LOD 2019. Lecture Notes in Computer Science, vol 11943. Springer, 168-179 (5th International Conference LOD 2019, 10 – 13 September 2019, Sienna, Tuscany, Italy).
  • D. Trachanatzi, E. Tsakirakis, M. Marinaki, Y. Marinakis and N. Matsatsinis (2019), A Memetic Algorithm for the Team Orienteering Problem, P. Moscato, N.J de Vries. (Eds.). Business and Consumer Analytics: New Directions, Springer Nature Switzerland, https://doi.org/10.1007/978-3-030-06222-4_14, 609-635.
  • A. Taxidou, I. Karafyllidis, M. Marinaki, Y. Marinakis and A. Migdalas (2019), A Hybrid Firefly - VNS Algorithm for the Permutation Flowshop Scheduling Problem, In: A. Sifaleras, S. Salhi, J. Brimberg (eds.) Variable Neighborhood Search. ICVNS 2018. Lecture Notes in Computer Science, vol 11328, Springer, 274-286.
  • E. Rapanaki, I.D. Psychas, M. Marinaki, Y. Marinakis, A. Migdalas (2019), A Clonal Selection Algorithm for Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem. In: Nicosia G., Pardalos P., Giuffrida G., Umeton R., Sciacca V. (eds) Machine Learning, Optimization, and Data Science. LOD 2018. Lecture Notes in Computer Science, vol 11331. Springer, 381-393.
  • Y. Marinakis, M. Marinaki and A. Migdalas (2018), “Variants and Formulations of the Vehicle Routing Problem”, P. Pardalos, A. Migdalas (Eds.), Open Problems in Optimization and Data Analysis, Springer Nature Switzerland, DOI: 10.1007/978-3-319-99142-4_9-7, 91 – 127.
  • Y. Marinakis and M. Marinaki (2018), “A Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem with Stochastic Demands”, ANTS 2018, LNCS 11172, M. Dorigo et al. (Eds.), 423-424 (11th International Conference on Swarm Intelligence, 29-31 October 2018, Rome, Italy).
  • Y. Marinakis, M. Marinaki and A. Migdalas (2018), “Particle Swarm Optimization for the Vehicle Routing Problem: A Survey and a Comparative Analysis”, R. Marti, P. Pardalos, M. Resende (Eds.), Handbook of Heuristics, Springer International Publishing, DOI: 10.1007/978-3-319-07153-4_42-1, 1163 – 1196.
  • E. Tsampounari, E. Tsakirakis, M. Marinaki,  Y. Marinakis and N. Matsatsinis (2018), “A gravitational search algorithm for the open vehicle routing problem”, Proceedings of the 7th International Symposium & 29th National Conference on Operational Research, 168-172, 14-16 June 2018, Chania, Greece.
  • E. Rapanaki, I.D. Psychas, E. Tsakirakis, M. Marinaki and Y. Marinakis (2018), “Artificial Bee Colony Algorithm for the Solution of Multiobjective Fuel Consumption Multi-Depot Vehicle Routing Problem”, Proceedings of the 7th International Symposium & 29th National Conference on Operational Research, 164-167, 14-16 June 2018, Chania, Greece.
  • A. Taxidou, I. Karafyllidis, D. Trachanatzi, M. Rigakis, M. Marinaki and Y. Marinakis (2018), “A firefly algorithm for the permutation flowshop scheduling problem”, Proceedings of the 7th International Symposium & 29th National Conference on Operational Research, 137-141, 14-16 June 2018, Chania, Greece.
  • E. Tsakirakis, E. Rapanaki, E. Tsampounari, M. Marinaki and Y. Marinakis (2018), “An Orienteering Problem Approach for City Tourist Trip Design”, Proceedings of the 7th International Symposium & 29th National Conference on Operational Research, 35-39, 14-16 June 2018, Chania, Greece.
  • I.D. Psychas, E. Delimpasi, M. Marinaki and Y. Marinakis (2018), An Influenza Virus Algorithm for Multiobjective Energy Reduction Open Vehicle Routing Problem, A. Adamatzky (Eds.), Shortest Path Solvers. From Software to Wetware. Emergency, Complexity and Computation Vol. 32, Springer, 145-161.
  • M. Rigakis, D. Trachanatzi, M. Marinaki and Y. Marinakis (2018), A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner's Dilemma, G. Giuffrida, G. Nicosia, P.M. Pardalos, R. Umeton, The Third International Conference on Machine  learning, Optimization and big Data - MOD 2017, 14-17 September Volterra, Tuscany, Italy, LNCS 10710, 133-145.
  • I.D. Psychas, M. Marinaki, Y. Marinakis and A. Migdalas (2017), “Parallel Multi-Start Non-dominated Sorting Particle Swarm Optimization Algorithms for the Minimization of the Route-based Fuel Consumption of Multiobjective Vehicle Routing Problems”, S. Butenko, P.M. Pardalos, V. Shylo (Eds.), Optimization Methods and Applications, Springer Optimization and its Applications, Vol. 130, 425-456.
  • Y. Marinakis and M. Marinaki (2017), “Hybrid Adaptive Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem”, S. Albers, N. Megow, A.S. Schulz and L. Stougie (Eds.), Proceedings of 13th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2017), Seeon Abbey, Germany June 12-16, 2017, 189-191.
  • I. Rogdakis, M. Marinaki, Y. Marinakis and A. Migdalas (2017), “An Island Memetic Algorithm for Real World Vehicle Routing Problems”, E. Grigoroudis, M. Doumpos (Eds.), Operational Research in Business and Economics, Springer Proceedings in Business and Economics, 205-223.
  • N. Makrymanolakis, M. Marinaki and Y. Marinakis (2016), “Data Mining Parameters’ Selection Procedure Applied to a Multi-Start Local Search Algorithm for the Permutation Flow Shop Scheduling Problem”, IEEE Symposium Series on Computational Intelligence (IEEE – SSCI 2016), 6-9 December 2016, Athens.
  • I.D. Psychas, M. Marinaki, Y. Marinakis and A. Migdalas (2016), “Minimizing the Fuel Consumption of a Multiobjective Vehicle Routing Problem Using the Parallel Multi-Start NSGA II Algorithm”, V.A. Kalyagin et al. (Eds.), Models, Algorithms and Technologies for Network Analysis, 69-88.
  • M. Rigakis, D. Trachanatzi, M. Marinaki and Y. Marinakis (2016), “Artificial Bee Colony Optimization Approach to Develop Strategies for the Iterated Prisoner's Dilemma”, G. Papa and M. Mernik (Eds.), BIOMA 2016, 51-63, ISBN: 978-961-264-093-4 (The 7th International Conference of Bionspired Methods and their Applications, 18-20 May 2016, Bled, Slovenia).
  • Y. Marinakis, M. Marinaki and A. Migdalas, (2016), “A Hybrid Discrete Artificial Bee Colony Algorithm for the Multicast Routing Problem”, G. Squillero and P. Burelli (Eds.), EvoApplications 2016, Part I, LNCS 9597, 203-218, 2016. DOI: 10.1007/978-3-319-31204-0_14 (EvoStar 2016, 30 March – 1 April 2016, Porto, Portugal).
  • Y. Marinakis, M. Marinaki and A. Migdalas (2015), “Adaptive Tunning of All Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm: An Application to the Probabilistic Traveling Salesman Problem”, A. Migdalas, A. Karakitsiou (Eds.), Optimization, Control, and Applications in the Information Age, Springer Proceedings in Mathematics & Statistics 130, DOI 10.1007/978-3-319-18567-5_10, 187-207.
  • Y. Marinakis, M. Politis, M. Marinaki and N. Matsatsinis (2015), “A Memetic-GRASP Algorithm for the Solution of the Orienteering Problem”, MCO 2015, Le Thi Hoai An, Pham Dinh Tao, Nguyen Ngoc Thanh (Eds.), Advances in Intelligent Systems and Computing 360, DOI: 10.1007/978-3-319-18167-7_10, 105-116 (Modelling, Computation and Optimization in Information Systems and Management Sciences, 11-13 May 2015, Metz, France).
  • I.D. Psychas, M. Marinaki and Y. Marinakis (2015), “A Parallel Multi-Start NSGA II Algorithm for Multiobjective Energy Reduction Vehicle Routing Problem”, EMO 2015, Part I, A. Gaspar-Cunha et al. (Eds.),  LNCS 9018, DOI: 10.1007/978-3-319-15934-8_23, 336–350 (8th International Conference on Evolutionary Multi-Criterion Optimization, 29 March – 1 April 2015, Guimaraes, Portugal).
  • Y. Marinakis, M. Marinaki and P. Spanou (2015), “A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands”, Adaptation and Hybridization in Computational Intelligence, Adaptation, Learning, and Optimization, 18, I. Fister and I. Fister Jr. (Eds.), DOI: 10.1007/978-3-319-14400-9_9, 185-203.
  • O. Bertsoulaki, I.D. Psychas, M. Marinaki and Y. Marinakis (2015), “A Hybrid Particle Swarm Optimization Algorithm for the Asymmetric Vehicle Routing Problem with Stochastic Demands”, Proceedings of the 4th International Symposium & 26th National Conference on Operational Research, 150-154, 4-6 June 2015, Chania, Greece.
  • Y. Marinakis and M. Marinaki (2014), “An Adaptive Bumble Bees Mating Optimization Algorithm for the Hierarchical Permutation Flowshop Scheduling Problem”, ANTS 2014, LNCS 8667, M. Dorigo et al. (Eds.), 282-283 (9th International Conference on Swarm Intelligence, 10-12 September 2014, Brussels, Belgium).
  • Y. Marinakis, M. Marinaki and A. Migdalas (2014) “A Hybrid Clonal Selection Algorithm for the Vehicle Routing Problem with Stochastic Demands”, Learning and Intelligent Optimization - LION 8, Lecture Notes in Computer Science (LNCS 8426), P.M. Pardalos et al. (Eds.), 258-273 (16-21 February 2014, Gainesville, Florida-USA).
  • M. Marinaki and Y. Marinakis (2014), “An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem”, Nature Inspired Cooperative Strategies for Optimization - NICSO 2013, Studies in Computational Intelligence, 512, G. Terrazas, F.E.B. Otero, A.D. Masegosa  (Eds.), Springer, 29-42 (2-4 September 2013, Canturburry, UK).
  • Y. Marinakis and M. Marinaki (2013), “A Hybridized Particle Swarm Optimization with Expanding Neighborhood Topology for the Feature Selection Problem”, M.J. Blesa et al. (Eds.): HM 2013, LNCS 7919, 37-51, Springer-Verlag, Berlin, Heidelberg.
  • Y. Marinakis and M. Marinaki (2013), “A Bilevel Particle Swarm Optimization Algorithm for Supply Chain Management Problems”, Metaheuristics for Bi-level Optimization, Studies in Computational Intelligence (SCI), 482, E.-G. Talbi (Ed.), 69-93. DOI: 10.1007/978-3-642-37838-6_3, Springer-Verlag, Berlin, Heidelberg.
  • Y. Marinakis and M. Marinaki (2013), “Combinatorial Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem”, EvoCOP 2013, LNCS 7832, M. Middendorf and C. Blum (Eds.), 133-144 (2013 EvoStar, The 13th European Conference on Evolutionary Computation in Combinatorial Optimization, 3-5 April 2013 Vienna, Austria).
  • Y. Marinakis and M. Marinaki (2013), “A Hybrid Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem”, Optimization Theory, Decision Making, and Operational Research Applications, A. Migdalas et al. (Eds.), Springer Proceedings in Mathematics & Statistics 31, 91-101, DOI: 10.1007/978-1-4614-5134-1_6, Springer Science+Business Media, New York.
  • Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2013), “Nature Inspired Algorithms for the Vibration Control of Beams with Piezoelectric Sensors and Actuators”, CSC2013 The Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Y. Tsompanakis, P. Ivanyi and B.H.V. Topping (Eds.), Civil and Structural Engineering Computational Methods, 129-156, Cagliari, Sardinia, Italy, 3-6 September 2013.
  • Y. Marinakis and M. Marinaki (2013), “Combinatorial Expanding Neighborhood Topology Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands”, GECCO: 2013, Genetic and Evolutionary Computation Conference, 6-10 July 2013, Amsterdam, The Netherlands, 49-56.
  • Y. Marinakis and M. Marinaki (2012), “A Hybrid Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem”, ANTS 2012 Lecture Notes in Computer Science (LNCS) 7461, M. Dorigo et al. (Eds.), Springer-Verlag, Berlin, Heidelberg, 180-187 (8th International Conference on Swarm Intelligence, 12-14 September 2012, Brussels, Belgium).
  • M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2012), “A Differential Evolution Algorithm for Fuzzy Control of Smart Structures”, Proceedings of the Eleventh International Conference on Computational Structures Technology, B.H.V. Topping (Ed.), Civil-Comp Press, Stirlingshire, United Kingdom, 4-7 September 2012, Dubrovnik, Croatia, paper 277, DOI:10.4203/ccp.99.277.
  • Y. Marinakis and M. Marinaki (2011), “De.Lo.S.: A Decision Support System for Solving Supply Chain Management Problems”, Proceedings of the 3rd International Conference on Applied Operational Research – ICAOR, Lecture Notes in Management Science, 3, Gunalay Y. and Kadipasaoglu S. (Eds.), 351-363, ISSN 2008-0050 (23-27 August 2011, Istanbul, Turkey).
  • Y. Marinakis and M. Marinaki (2011), “Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem”, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, 8, Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (Eds.),  Springer-Verlang, Berlin, 347-369.
  • Y. Marinakis and M. Marinaki (2011), “A Honey Bees Mating Optimization Algorithm for the Open Vehicle Routing Problem”, GECCO: 2011, Genetic and Evolutionary Computation Conference, 12-16 July 2011, Dublin, Ireland.
  • Y. Marinakis and M. Marinaki (2010) “Nature Inspired and Classic Metaheuristic Algorithms for Global Unconstrained Optimization Problems. A comparative analysis”, Computational Optimization: New Research Developments, Richard F. Linton and Thomas B. Carroll Jr. (Eds.), 243-263, Nova Science Publishers.
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2010), “A Bumble Bees Mating Optimization Algorithm for Global Unconstrained Optimization Problems”,  Nature Inspired Cooperative Strategies for Optimization - NICSO 2010, Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.), Springer-Verlag Berlin, 305-318 (12-14 May 2010, Granada, Spain).
  • G.E. Stavroulakis, N. Kaminakis, Y. Marinakis and M. Marinaki (2009), “Nonconvex, Multiobjective Problems in Topology Optimization of Mechanisms”, Global Optimization, Theory, Models and Applications I, Lecture Notes in Decision Sciences (LNDS), 12,  C. Ma, L. Yu, D. Zhang and Z. Zhou (Eds.), Global-Link Publishers, Tokyo, 8-14 (First World Congress on Global Optimization in Engineering and Science WCGO2009, 1-5 June 2009, Changsha and Zhangjiajie, China).
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2009), “A Hybrid Bumble Bees Mating Optimization – GRASP Algorithm for Clustering”, HAIS 2009, Lecture Notes in Artificial Intelligence (LNΑΙ) 5572, E. Corchado et al. (Eds.), Springer Verlag Berlin Heidelberg, 549-556, (4th International Conference of Hybrid Artificial Intelligence Systems, 10 – 12 June 2009, Salamanca, Spain).
  • M. Marinaki (2009), Optimization of Wastewater Systems, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_710, 4055-4060, Springer.
  • M. Marinaki (2009), Flowshop Scheduling Problem, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_185, 1060-1068, Springer.
  • G.E. Stavroulakis, N. Kaminakis, Y. Marinakis and M. Marinaki (2009), “Multiobjective Global Topology Optimization for Structures and Mechanisms”, 2th South East European Conference on Computational Mechanics, 22-24 June 2009, Rhodes, Greece.
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2009), “A Hybrid Discrete Artificial Bee Colony – GRASP Algorithm for Clustering”, 39th International Conference on Computers and Industrial Engineering, 6 - 8 July 2009, Troyes, France.
  • Y. Marinakis and M. Marinaki (2009), “A Hybrid Honey Bees Mating Optimization Algorithm for the Probabilistic Traveling Salesman Problem”, IEEE Congress on Evolutionary Computation (CEC 2009), 18-21 May 2009, Trondheim, Norway.
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2008), “A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO and GRASP”, DaWaK 2008, Lecture Notes in Computer Science (LNCS), 5182,  I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag, Berlin, Heidelberg, 186-195 (10th International Conference on Data Warehousing and Knowledge Discovery, 1-5 September 2008, Turin, Italy).
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2008), “A Hybrid Clustering Algorithm based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure”, Learning and Intelligent Optimization - LION 2, Lecture Notes in Computer Science (LNCS), 5313, V. Maniezzo, R. Battiti and J.P. Watson (Eds.), Springer-Verlag, Berlin, Heidelberg, 138-152 (8-12 December 2007, Trento, Italy).
  • Y. Marinakis, M. Marinaki and G. Dounias, (2008) “Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem”, Nature Inspired Cooperative Strategies for Optimization - NICSO 2007, Studies in Computational Intelligence, 129, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta (Eds.), Springer-Verlag, Berlin, 139-148 (8-10 November 2007, Acireale, Sicily, Italy).
  • G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki and N. Skarros (2008), “Optimal Structural and Mechanism Design using Topology Optimization”, International Conference on Modeling and Simulation 08, 18-20 November 2008, Petra, Jordan.
  • Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2008), Particle Swarm Optimization Approach for Fuzzy Control of Smart Structures”, 6th International Conference on Engineering Computational Technology (ECT 2008), M. Papadrakakis, B.H.V. Topping, (Eds.), 2-5 September 2008, Publisher: Civil-Comp Press, Stirlingshire, UK, DOI:10.4203/ccp.89.80, Athens, Greece.
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2008), “Honey Bees Mating Optimization for the Location Routing Problem”, IEEE International Engineering Management Conference (IEMC – Europe 2008), 28-30 June 2008, Estoril, Portugal.
  • Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2008), “Particle Swarm Optimization for Structural Control”, 6th GRACM International Congress on Computational Mechanics, 19-21 June 2008, Thessaloniki, Greece.
  • Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis (2008), “A Memetic-GRASP Algorithm for Clustering”, 10th International Conference on Enterprise Informations Systems (ICEIS), 13-16 June 2008, Barcelona, Spain.
  • Y. Marinakis, M. Marinaki and N. Matsatsinis (2007), “A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis”, DaWaK 2007, Lecture Notes in Computer Science (LNCS) 4654,  I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag, Berlin, Heidelberg, 241-250 (9th International Conference on Data Warehousing and Knowledge Discovery, 3-7 September 2007, Regensburg, Germany).
  • N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias (2007), “Training Neural Network Based Models Using Trading Related Objective Functions”, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta.
  • N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias (2007), “Optimization of Complex Financial Models Using Nature Inspired Techniques”, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta.
  • Y. Marinakis, M. Marinaki and G. Dounias (2007), “Honey Bees Mating Optimization Algorithm for Combinatorial Optimization Problems”, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta.
  • D. Butler, R. Katebi, U. Jeppsson, J.A. Baeza, M. Marinaki, P.S. Mikkelsen and A.G.  Capodaglio (2004), Towards a Systems Engineering Approach to Integrated Catchment Management, 6th International Conference on Systems Analysis and Integrated Assessment in Water Management, Beijing, China, November 3-5, 2004 (Poster).
  • M. Marinaki and M. Papageorgiou (2003), Application of Linear-Quadratic Regulators to Sewer Network Control, Pumps, Electromechanical Devices and Systems Applied to Urban Water Management, 2, 879-886, Cabrera & Cabrera Jr. (Εds), Swets & Zeitlinger B. V., Lisse, The Netherlands.
  • M. Marinaki and M. Papageorgiou (2003), Linear-Quadratic Regulators Applied to Sewer Network Flow Control, European Control Conference ECC2003, University of Cambridge, UK, September 1-4, 2003.
  • M. Marinaki and M. Papageorgiou (2001), Rolling-horizon optimal control of sewer networks. 2001 IEEE International Conference on Control Applications, Mexico City, Mexico, September 5-7, 2001, 594-599.
  • M. Marinaki and M. Papageorgiou (1998), Nonlinear Optimal Flow Control for Sewer Networks, 1998 American Control Conference, Philadelphia, Pennsylvania, June 24-26, 1998, 1289-1293.
  • M. Marinaki and M. Papageorgiou (1996), A LQ-Regulator with Feedforward Terms Applied to Sewer Network Flow Control. 4th International Conference on Control, Automation, Robotics and Vision (ICARCV’96), Singapore, December 3-6, 1996,  1441-1445

 

PAPERS’ ABSTRACTS IN INTERNATIONAL CONFERENCES

 

  • Trachanatzi, D.,  Rigakis, M., Marinaki, M., Marinakis, Y. “A Green Prize-Collective Vehicle Routing Problem for sustainable tourism”, 6th International Conference on “Energy, Sustainability and Climate Change”, ESCC 2019, 3-7 June 2019, Chania, Crete, Greece (3rd place for the «Panos Pardalos» best student award).
  • Marinakis, Y. and M. Marinaki (2018), “A Honeybees Mating Optimization Algorithm for the Vehicle Routing Problem with Stochastic Demands”, 29th European Conference on Operational Research (EURO29), 8-11 July 2018, Valencia, Spain.
  • Rigakis, M., Trachanatzi, D., Taxidou, A., Karafyllidis, I., Marinaki, M. and Y. Marinakis (2018), “Evolving Strategies for the Iterated Prisoners Dilemma via a Binary Firefly Algorithm”, Book of Abstracts of the 7th International Symposium & 29th National Conference on Operational Research, 14-16 June 2018, Chania, Greece.
  • E. Rapanaki, I.D. Psychas, M. Marinaki, Y. Marinakis and N. Matsatsinis (2016), “Clonal Selection Algorithm for theSolution of the Multiobjective Route-based Fuel Consumption Multi-Depot Vehicle Routing Problem with Uniformly Distributed Customers”, 84th Meeting of Euro Working Group on MCDA, 22-24 September 2016, Vienna, Austria.
  • I.D. Psychas, M. Marinaki, Y. Marinakis and N. Matsatsinis (2016), “Parallel Multi-Start Multiobjective Influenza Virus Algorithm for Multiobjective Energy Reduction Open Vehicle Routing Problem”, 84th Meeting of Euro Working Group on MCDA, 22-24 September 2016, Vienna, Austria.
  • I.D. Psychas, M. Marinaki, Y. Marinakis and N. Matsatsinis  (2016), “A Parallel Multi-Start NSGA II Algorithm for the Solution of Multiobjective Route-based Fuel Consumption Open Vehicle Routing Problems”, VeRoLog 2016, Fifth meeting of the EURO Working Group on Vehicle Routing and Logistics Optimization, 6-8 June 2016, Nantes, France.
  • I.D. Psychas, M. Marinaki and Y. Marinakis (2015), “A Parallel Multi-Start Non-dominated Sorting Particle Swarm Optimization Algorithm for the Minimization of the Fuel Consumption Multiobjective Vehicle Routing Problem”, 45th Annual Conference of the Italian Operations Research Society AIRO 2015, 7-10 September 2015, Pisa, Italy.
  • Y. Marinakis and M. Marinaki (2015), “An Evolutionary GRASP algorithm for an Environmental Vehicle Routing Problem with Stochastic Demands”, 27th European Conference on Operational Research (EURO27), 12-15 July 2015, University of Strathclyde, Scotland.
  • I.D. Psychas, M. Marinaki, Y. Marinakis and A. Migdalas (2015), “Non-Dominated Sorting Differential Evolution Algorithm for the Minimization of Route-based Fuel Consumption Multiobjective Vehicle Routing Problems”,  2nd International Conference on “Energy, Sustainability and Climate Change”, ESCC 2015, 21-27 June 2015, Chania, Crete, Greece.
  • Marinakis, Y., Marinaki, M. and A. Migdalas, (2015) “A Tree Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with Stochastic Travel and Service Times”, World Congress on Global Optimization – WCGO 2015, 22-25 February 2015, Gainesville, Florida, USA
  • Marinakis, Y., Marinaki, M. and A. Migdalas, (2014) “An Adaptive Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with Time Windows”, LOT 2014, Logistics, Optimization and Transportation Conference, 1-2 November 2014 Molde Norway
  • Marinakis, Y.  and M. Marinaki (2014), “A GRASP Algorithm with Path Relinking for the Multi-depot Location Routing Problem with Stochastic Customers”, IFORS 2014, 20th Conference of the International Federation of Operational Research Societies, Barcelona, July 13-18, 2014
  • Marinakis, Y. and M. Marinaki, (2014) “A Multi-Start Variable Neighborhood Search Algorithm with Path Relinking for the Location Routing Problem with Stochastic Demands”, VeRoLog 2014, Third meeting of the EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014
  • Marinaki, M. and Y. Marinakis, (2014) “An Evolutionary – GRASP Algorithm with Path Relinking for the Vehicle Routing Problem with Stochastic Demands”, VeRoLog 2014, Third meeting of the EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014
  • Marinakis, Y., Marinaki, M. and A. Migdalas (2014) “Adaptive Tunning of All Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm. An Application to the Probabilistic Traveling Salesman Problem”, Optimization, Control and Applications in the Information Age, June 15-20, 2014 Meliton Hotel, Porto Carras, Neos Marmaras, Sithonia, Chalkidiki, Greece
  • Marinakis, Y., Marinaki, M., Matsatsinis, N. and C. Zopounidis, (2010), “A Nature Inspired Multiobjective Optimization Algorithm for Supply Chain Management Problem”, 72th Meeting of the Working Group “Multiple Criteria Decision Aiding”, 7-9 October 2010, Paris, France.
  • Marinaki, M, Marinakis, Y. and C. Zopounidis, (2010), “A Clonal Selection Algorithm for Financial Classification Problems”, 9th Special Conference of HELORS on “Quantitative Models in the Managerial and Financial Decision Making”, 27-29 May 2010, Agios Nikolaos, Crete, Greece.
  • Doumpos, M., Marinakis, Y., Marinaki, M. and C. Zopounidis “Evolutionary approaches for the development of outranking relation models in classification problems”, 66th Meeting of the European Working Group “Multiple Criteria Decision Aiding”, 18-20 October 2007, Marrakesh, Morocco.
  • Marinakis, Y., Marinaki, M. and N. Matsatsinis, “A Stochastic Nature Inspired Metaheuristic for Clustering Analysis”,Book of Abstracts, 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.
  • Doumpos, M., Marinakis, Y., Marinaki, M. and C. Zopounidis, “Evolutionary approaches for the development of outranking relation models in classification problems”, Book of Abstracts, 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.
  • Marinakis, Y., Marinaki, M., Doumpos, M. and C. Zopounidis, “Ant Colony and Particle Swarm Optimization for Financial Classification Problems”, Book of Abstracts, 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.
  • Marinakis, Y., Marinaki, M., Doumpos, M., Matsatsinis, N. and C. Zopounidis, “A New Metaheuristic Algorithm for Cluster Analysis”, Book of Abstracts of the 5th International Conference on Advances in Global Optimization: Methods and Applications,June 13 - 17, 2007, Myconos, Greece.
  • Marinakis, Y., Marinaki, M., Doumpos, M., Efremides, Y., Matsatsinis, N., and Zopounidis, C.: Metaheuristics Algorithms for Feature Selection in Credit Risk Assessment, MCDA64, Larisa, Greece, September 28-30, 2006, (Book of Abstracts).
  • Marinakis, Y., Migdalas, A., Pardalos, P. M., Marinaki, M.: A hybrid genetic – GRASP algorithm for the vehicle routing problem. 4th Annual Florida Supply Chain Management Conference, Cocoa Beach, Florida, U.S.A., 25-27 February 2005 (Book of Abstracts).
  • Capodaglio, A. G., Katebi, R., Jeppsson, U., Baeza, J. A., Marinaki, M., Mikkelsen, P. S., Butler, D. : Systems engineering-based approach to integrated water quality management in river basins. SIDISA 2004 - International Conference of Environmental E

 

 

 

 

 

 
 
Last Updated: 11/01/2022