Dr. Yannis Marinakis, Associate Professor

   
Greek

 

 

Books
    1. Nikolaos F. Matsatsinis, Yannis Marinakis, Panos Pardalos (2020), (Eds.) Learning and Intelligent Optimization. LION 2019. Lecture Notes in Computer Science, vol 11968. Springer, (Revised Selected Paper of 13th International Conference LION 2019, May 27-31, 2019, Chania, Greece).
    2. 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).
    3. Yannis Marinakis and Athanasios Migdalas, (2016), Combinatorial Optimization, (in Greek), New Technologies Publisher, pages 528, ISBN: 978-960-578-022-7.
    4. Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis and Constantin Zopounidis, (2011), Metaheuristic and Evolutionary Algorithms in Management Science Problems, (in Greek), Klidarithmos, pages 528, Athens, ISBN 978-960-461-422-6.
    5. Yannis Marinakis and Athanasios Migdalas, (2008), Modelling and Optimization of Supply Chain, (in Greek), Sophia Publishers, Thessaloniki, pages 533, ISBN: 978-960-6706-17-2.
    6. Yannis Marinakis and Magdalene Marinaki (2005), Mathematical Theory of Optimization. New Technologies Edition, Athens. Translation in Greek of the Book: «Du D.-Z., Pardalos, P. M., and Wu., W. Mathematical theory of optimization. Nonconvex optimization and its applications, Kluwer Academic Publishers, 2001», pages 348, ISBN: 960-8105-79-X.

 

Editing of a Scientific Volume
    1. 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
Book Chapters and Papers in Proceedings of Conferences
    1. 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.
    2. 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.
    3. 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).
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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).
    10. 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).
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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, pp. 205-223.
    27. 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.
    28. 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.
    29. 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, pp. 51-63, ISBN: 978-961-264-093-4 (The 7th International Conference of Bionspired Methods and their Applications, 18-20 May 2016, Bled, Slovenia).
    30. 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, pp. 203-218. DOI: 10.1007/978-3-319-31204-0_14 (EvoStar 2016, 30 March – 1 April 2016, Porto, Portugal).
    31. 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, pp. 187-207.
    32. 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, pp. 105-116 (Modelling, Computation and Optimization in Information Systems and Management Sciences, 11-13 May 2015, Metz, France).
    33. 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, pp. 336–350 (8th International Conference on Evolutionary Multi-Criterion Optimization, 29 March – 1 April 2015, Guimaraes, Portugal)
    34. 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, pp. 185-203.
    35. 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, pp 150-154, June 4-6, 2015, Chania, Greece
    36. Y. Marinakis and A. Migdalas (2014) “A Particle Swarm Optimization algorithm for the Multicast Routing Problem”, Models, Algorithms and Technologies for Networks Analysis, Springer Proceedings in Mathematics & Statistics 104, M.V. Batsyn et al. (eds.), DOI 10.1007/978-3-319-09758-9_7, pp. 69-91.
    37. Y. Marinakis and A. Migdalas, (2014), “Multiobjective Particle Swarm Optimization for a Multicast Routing Problem”, Examining Robustness and Vulnerability of Network Systems, S. Butenko et al. (Eds) pp. 161 – 175. (IOS Press) doi: 10.3233/978-1-61499-391-9-161 (NATO Advanced Research Workshop, June 3-5, 2013, Kyiv, Ukraine).
    38. 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.):pp. 282–283, 2014 (9th International Conference on Swarm Intelligence, 10-12 September 2014, Brussels, Belgium).
    39. 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.), pp 258-273, (16-21 February 2014, Gainesville, Florida-USA).
    40. 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, Vol 512, G. Terrazas, F.E.B. Otero, A.D. Masegosa  (Eds.), Springer, 29-42 (2-4 September 2013, Canturburry, UK).
    41. 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, pp. 37–51, ©Springer-Verlag Berlin Heidelberg 2013.
    42. Y. Marinakis and M. Marinaki (2013) “A Bilevel Particle Swarm Optimization Algorithm for Supply Chain Management Problems”, E.-G. Talbi (Ed.): Metaheuristics for Bi-level Optimization, Studies in Computational Intelligence (SCI) Vol. 482, pp. 69–93. DOI: 10.1007/978-3-642-37838-6_3 ©Springer-Verlag Berlin Heidelberg 2013.
    43. Y. Marinakis and M. Marinaki (2013) “Combinatorial Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem”, M. Middendorf and C. Blum (Eds.): EvoCOP 2013, LNCS 7832, pp. 133–144, (2013 EvoStar, The 13th European Conference on Evolutionary Computation in Combinatorial Optimization, 3-5 April 2013 Vienna, Austria).
    44. 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. (Editors), Springer Proceedings in Mathematics & Statistics 31, DOI 10.1007/978-1-4614-5134-1_6, ©Springer Science+Business Media New York 2013, 91-101.
    45. Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2013), “Nature inspired algorithms for the vibration control of beams with piezoelectric sensors and actuators”, in CSC2013 The Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Eds. Y. Tsompanakis, P. Ivanyi and B.H.V. Topping, Civil and Structural Engineering Computational Methods, 129-156, Cagliari, Sardinia, Italy 3-6 September 2013 (invited speaker).
    46. 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.
    47. 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. (Editors) Springer-Verlag Berlin Heidelberg, 180-187 (8th International Conference on Swarm Intelligence, 12-14 September 2012, Brussels, Belgium).
    48. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2012), “A Differential Evolution Algorithm for Fuzzy Control of Smart Structures“, in Proceedings of the Eleventh International Conference on Computational Structures Technology, B.H.V. Topping, (Editor), Civil-Comp Press, Stirlingshire, United Kingdom, 4-7 September 2012, Dubrovnik, Croatia, paper 277, doi:10.4203/ccp.99.277.
    49. Y. Marinakis and M. Marinaki (2011), “De.Lo.S.: A decision support system for Solving Supply Chain Management Problems” In: Gunalay Y & Kadipasaoglu S (Eds). Proceedings of the 3rd International Conference on Applied Operational Research – ICAOR (2011), pp. 351-363.  Lecture Notes in Management Science Vol. 3. ISSN 2008-0050. (23-27 August 2011, Istanbul, Turkey).
    50. Y. Marinakis and M. Marinaki, (2011), “Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem”, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Editors Bijaya Ketan Panigrahi, Yuhui Shi & Meng-Hiot Lim, Series on Adaptation, Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369. 
    51. 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.
    52. 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., 243-263, Nova Science Publishers.
    53. 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, J.R. Gonzalez et al. (Eds.), Studies in Computational Intelligence Vol 284, Springer-Verlag Berlin, pp. 305-318 (12-14 May 2010, Granada, Spain).
    54. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, 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.Q. Ma, L.A. Yu, D.B. Zhang and Z.B. Zhou (Eds.), Global-Link Publishers, Tokyo, 8-14 (First World Congress on Global Optimization in Engineering and Science WCGO2009, June 1-5 2009, Changsha and Zhangjiajie, China).
    55. 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).
    56. Y. Marinakis, (2009), “Metaheuristic Algorithms for the Vehicle Routing Problem”, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_366, pp. 2055 – 2061, Springer.
    57. Y. Marinakis, (2009), “Heuristic and metaheuristic algorithms for the traveling salesman problem”, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_262, pp. 1499 – 1506, Springer.
    58. Y. Marinakis, (2009), “Location Routing Problem”, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_345, pp. 1919 – 1925, Springer.
    59. 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.
    60. 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.
    61. 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.
    62. 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).
    63. 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 Intelligence Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313, V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg, 138-152 (8-12 December 2007, Trento, Italy).
    64. 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, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta (Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, (8-10 November 2007, Acireale, Sicily, Italy).
    65. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008) “Cost allocation in Combinatorial Optimization Games”, Pareto Optimality, Game Theory and Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247.
    66. 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.
    67. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), “Particle Swarm Optimization Approach for Fuzzy Control of Smart Structures”, in M. Papadrakakis, B.H.V. Topping, (Editors), 6th International Conference on Engineering Computational Technology (ECT 2008), 2-5 September 2008, Athens, Greece, Publisher: Civil-Comp Press, Stirlingshire, UK, doi:10.4203/ccp.89.80.
    68. 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.
    69. 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.
    70. 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.
    71. 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).
    72. 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.
    73. 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.
    74. 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.
    75. V. Vassiliadis, N. Thomaidis, Y. Marinakis, M. Michalopoulos, G. Dounias, (2007), “Investigating Interrelations of Major International Stock Markets with the Use of Econometric and Intelligent Approaches”, SIGEF 2007, XIV Congress of International Association for Fuzzy-Set Management and Economy, 1-3 November 2007, Poiana, Brasov, Romania.
    76. Y. Marinakis and G. Dounias, (2006), “Nature Inspired Intelligent Techniques for Pap Smear Diagnosis: Ant Colony Optimization for Cell Classification”, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 35 - 45, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
    77. Y. Marinakis and G. Dounias, (2006), “Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification”, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 15-24, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
    78. Y. Marinakis and G. Dounias, (2006), “Nearest Neighbor Based Pap Smear Cell Classification Using Tabu Search for Feature Selection”, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 25-34, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
    79. Y. Marinakis, A. Migdalas and L. Pitsoulis, (2002), “Parallel GRASP for routing on trees with time windows”, Proceedings of the 4th GRACM Congress on Computational Mechanics, June 2002, Patra, Greece.
    80. Y. Marinakis and A. Migdalas, (2002), “Heuristic Solutions of Vehicle Routing Problems in Supply Chain Management”, Combinatorial and Global Optimization, P.M. Pardalos et al. (eds.), Scientific World, 205-235.

     

     

Papers' Abstracts in Proceedings of Conferences
    1. D. Trachanatzi, M. Rigakis, M. Marinaki & Y. Marinakis “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 for D. Trachanatzi).
    2. Y. Marinakis 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.
    3. M. Rigakis, D. Trachanatzi, A. Taxidou, I. Karafyllidis, M. Marinaki 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.
    4. 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.
    5. 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.
    6. 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.
    7. I.D. Psychas, M. Marinaki, 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 - September 7-10, 2015, Pisa, Italy.
    8. Y. Marinakis, 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.
    9. I.D. Psychas, M. Marinaki, Y. Marinakis & 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, Chania, Crete, Greece, 21-27 June 2015.
    10. Y. Marinakis, M. Marinaki 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.
    11. Y. Marinakis, M. Marinaki 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.
    12. Y. Marinakis 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.
    13. Y. Marinakis 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.
    14. M. Marinaki 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.
    15. Y. Marinakis, M. Marinaki 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”, Conference: Optimization, Control and Applications in the Information Age, June 15-20, 2014 Meliton Hotel, Porto Carras, Neos Marmaras, Sithonia, Chalkidiki, Greece.
    16. Y. Marinakis, A. Migdalas (2013) “An Artificial Bee Colony algorithm for Multicast Routing Problems”, XI Balcan Conference on Operational Research BALCOR 2013, Belgrade & Zlatibor, 7-11 September, 2013.
    17. Y. Marinakis and A. Migdalas, (2013), Heuristic and Metaheuristic Routing, 3rd International Conference on Network Analysis, May 20 – 22, 2013 in Nizhny Novgorod, Russia.
    18. Y. Marinakis, A. Migdalas and A. Sifaleras (2012), “A hybrid Particle Swarm Optimization - Variable Neighborhood Search Algorithm for Constrained Shortest Path Problems”, EUROmC – XXVIII – VNS Conference, 4-7 October 2012, Herceg Novi, Montenegro.
    19. Y. Marinakis, M. Marinaki, N. Matsatsinis 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.
    20. M. Marinaki, Y. Marinakis, 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.
    21. M. Doumpos, Y. Marinakis, M. Marinaki, C. Zopounidis, (2007), “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.
    22. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), “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.
    23. M. Doumpos, Y. Marinakis, M. Marinaki, and C. Zopounidis, (2007), “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.
    24. Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2007), “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.
    25. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2007), “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.
    26. Y. Marinakis, M. Marinaki, M. Doumpos, Y. Efremides, N. Matsatsinis and C. Zopounidis, (2006), “Metaheuristic Algorithms for Feature Selection in Credit Risk Assessment”, Book of Abstracts of the MCDA64, 28-30 September 2006, Larisa, Greece.
    27. Y. Marinakis and A. Migdalas, (2005), “Bilevel Formulations for Type Routing Problems and a Solution Method Using a Genetic Algorithm”, Book of Abstracts of Multilevel Optimization: Algorithms and Applications, 15-17 May 2005, Chania, Greece.
    28. Y. Marinakis, A. Migdalas, P.M. Pardalos and M. Marinaki, (2005), “A Hybrid Genetic - GRASP Algorithm for the Vehicle Routing Problem”, Book of Abstracts of the 4th Annual Florida Supply Chain Management Conference, 25-27 February 2005, DoubleTree, Cocoa Beach, Florida, USA.
    29. Y. Marinakis and A. Migdalas, (2003), “A Two Phase Local Search GRASP for the Traveling Salesman Problem”, Book of Abstracts of the First International Conference on Computational Management Science, 27 - 30 May 2003, Almyrida, Chania, Greece.
    30. A. Migdalas and Y. Marinakis, (2003), “A Bilevel Programming Approach to the Location Routing Problem”, Book of Abstracts of the International Workshop on Computational Management Science, Economics, Finance and Engineering, 28-30 March 2003, Limassol, Cyprus.

Theses by Yannis Marinakis

 

    1. November 2005: Ph.D. in Operations Research from the Department of Production Engineering and Management, Technical University of Crete, Greece. Ph.D. Dissertation: Vehicle Routing in Distribution Problems.
    2. September 2001:  Master’s Degree in Operations Research from the Department of Production Engineering and Management, Technical University of Crete, Greece.  M.Sc. Thesis:  Development and Application of an Algorithm for the Solution of the Vehicle Routing Problem.
    3. September 1999: Engineering Degree from the Department of Production Engineering and Management, Technical University of Crete, Greece. Diploma Thesis: Study of the properties of nonlinear optimization algorithms.

 

 

 

Technical University of Crete, School of Production Engineering and Management