Michalis Mavrovouniotis

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Edited Proceedings

  1. K. Sim, P. Kaufmann, G. Ascheid, J. Bacardit, S. Cagnoni, C. Cotta, F. D'Andreagiovanni, F. Divina, A. I. Esparcia-Alcázar, F. Fernández de Vega, K. Glette, J. I. Hidalgo, J. Hubert, G. Iacca, M. Kampouridis, O. Kramer, M. Mavrovouniotis, A. M. Mora, T. T. Nguyen, F. Otero, R. Schaefer, S. Silva, A. Tonda, N. Urquhart, M. Zhang (eds), "EvoApplications 2018: Applications of Evolutionary Computation", Lecture Notes in Computer Science, vol. 10784 Springer, ISBN: 978-3-319-77537-1, 2018.
  2. G. Squillero, K. Sim, G. Ascheid, J. Bacardit, A. Brabazon, P. Burelli, S. Cagnoni, M. Coler, C. Cotta, F. D'Andreagiovanni, F. Divina, A. I. Esparcia-Alcázar, F. Fernández de Vega, K. Glette, E. Haasdijk, J. Heinerman, J. I. Hidalgo, T. Hu, G. Iacca, M. Kampouridis, P. Kaufmann, M. Mavrovouniotis, A. M. Mora, T. T. Nguyen, R. Schaefer, S. Silva, A. Tonda, E. Tarantino, N. Urquhart, M. Zhang (eds), "EvoApplications 2017: Applications of Evolutionary Computation", Lecture Notes in Computer Science, vol. 10199, Springer, ISBN: 978-3-319-55791-5, 2017.
  3. G. Squillero, P. Burelli, J. Bacardit, A. Brabazon, S. Cagnoni, C. Cotta, I. De Falco, A. D. Cioppa, F. Divina, A. E. Eiben, A. I. Esparcia-Alcázar, F. Fernández de Vega, K. Glette, E. Haasdijk, J. I. Hidalgo, T. Hu, M. Kampouridis, P. Kaufmann, M. Mavrovouniotis, A. M. Mora, T. T. Nguyen, R. Schaefer, K. Sim, E. Tarantino, N. Urquhart, M. Zhang (eds), "EvoApplications 2016: Applications of Evolutionary Computation", Lecture Notes in Computer Science, vol. 9597, Springer, ISBN: 978-3-319-31203-3, 2016.
  4. A. M. Mora, G. Squillero, A. Agapitos, P. Burelli, W. S. Bush, S. Cagnoni, C. Cotta, I. De Falco, A. D. Cioppa, F. Divina, A. E. Eiben, A. I. Esparcia-Alcázar, F. Fernández de Vega, K. Glette, E. Haasdijk, J. I. Hidalgo, M. Kampouridis, P. Kaufmann, M. Mavrovouniotis, T. T. Nguyen, R. Schaefer, K. Sim, E. Tarantino, N. Urquhart, M. Zhang (eds), "EvoApplications 2015: Applications of Evolutionary Computation", Lecture Notes in Computer Science, vol. 9028, Springer, ISBN: 978-3-319-16548-6, 2015.

Refereed Journal Papers (and source codes)

  1. S. Neophtyides, M. Eliades, M. Mavrovouniotis, C. Papoutsa, G. Papadavid, D. Hadjimitsis. Improved water resources management for smart farming: A case study for Cyprus. Scientific Reports, 2024.
  2. F. M. Müller, I. S. Bonilha, V. A. Schneider, V. B de Souza, G. d-R. da Cruz, M. Mavrovouniotis. GATeS: A hybrid based on genetic algorithm and tabu search for the direct marketing problem. IEEE Access, vol. 12, pp. 20867-20884, 2024. (DOI:10.1109/ACCESS.2024.3353052).
  3. K. Manousakis, G. Savva, N. Papadouri, M. Mavrovouniotis, A. Christofides, N. Kolokotroni, G. Ellinas. A practical approach for resource-constrained project scheduling. IEEE Access, vol. 12, pp. 12976-12991, 2024. (DOI:10.1109/ACCESS.2024.3352438).
  4. M. Eliades, S. Neophytides, M. Mavrovouniotis, C. F. Panagiotou, M. N. Anastasiadou, I. Varvaris, C. Papoutsa, F. Bachofer, S. Michaelides, D. Hadjimitsis. Temporal dynamics of global barren areas between 2001 and 2022 derived from MODIS land cover products. Remote Sensing. vol. 16, no. 17, 2024. (DOI:10.3390/rs16173317).
  5. M. Mavrovouniotis, M. N. Anastasiadou, D. Hadjimitsis. Measuring the performance of ant colony optimization algorithms for the dynamic traveling salesman problem. Algorithms, vol. 16, no. 12, 2023. (DOI:10.3390/a16120545).
  6. M. Eliades, S. Michaelides, E. Evagorou, K. Fotiou, K. Fragkos, G. Leventis, C. Theocharidis, C. F. Panagiotou, M. Mavrovouniotis, S. Neophytides, C. Papoutsa, K. Neocleous, K. Themistocleous, A. Anayiotos, G. Komodromos, G. Schreier, C. Kontoes, D. Hadjimitsis. Earth observation in the EMMENA region: scoping review of current applications and knowledge gaps. Remote Sensing, vol. 15, no. 17, 2023. (DOI:10.3390/rs15174202).
  7. E. S. Rigas, P. Kolios, M. Mavrovouniotis, G. Ellinas. Scheduling a fleet of drones for monitoring missions with spatial, temporal, and energy constraints. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15133-15145, 2022. (DOI:10.1109/TITS.2021.3137359).
  8. S. M. Salesi, G. Cosma, M. Mavrovouniotis. TAGA: Tabu asexual genetic algorithm embedded in a filter/filter feature selection approach for high-dimensional data. Information Sciences, vol. 565, pp. 105-127, 2021. (DOI:10.1016/j.ins.2021.01.020).
  9. C. Li, R. Yang, L. Zhou, S. Zeng, M. Mavrovouniotis, M. Yang, S. Yang, M. Wu. An adaptive multi-population evolutionary algorithm for contamination source identification in water distribution systems. Journal of Water Resources Planning and Management, vol. 147, no. 5, pp. 04021014, 2021. (DOI:10.1061/(ASCE)WR.1943-5452.0001362).
  10. M. Mavrovouniotis, S. Yang, M. Van, C. Li, and M. Polycarpou. Ant colony optimization algorithms for dynamic optimization: A case study of the dynamic travelling salesperson problem. IEEE Computational Intelligence Magazine, vol. 15, no. 1, pp. 52-63, 2020. (DOI:10.1109/MCI.2019.2954644, Supplementary Material, Source Code in C++).
  11. M. Van, X. P. Do, M. Mavrovouniotis. Self-tuning fuzzy PID-nonsingular fast terminal sliding mode control for robust fault tolerant control of robot manipulators. ISA Transactions, vol. 96, pp. 60-68, 2020. (DOI:10.1016/j.isatra.2019.06.017).
  12. M. Van, M. Mavrovouniotis, S. S. Ge. An adaptive backstepping nonsingular fast terminal sliding mode control for robust fault tolerant control of robot manipulators. IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 49, no. 7, pp. 1448-1458, 2019. (DOI:10.1109/TSMC.2017.2782246).
  13. D. Kosmanos, L. Maglaras, M. Mavrovouniotis, S. Moschoyiannis, A. Argyriou, A. Maglaras, H. Janicke. Route optimization of electric vehicles based on dynamic wireless charging. IEEE Access, vol. 6, pp. 42551-42565, 2018. (DOI:10.1109/ACCESS.2018.2847765).
  14. M. Mavrovouniotis, C. Li, S. Yang. A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm and Evolutionary Computation, vol. 33, pp. 1-17, 2017. (DOI:10.1016/j.swevo.2016.12.005). Most cited article published since 2017 for the Swarm and Evolutionary Computation journal.
  15. M. Mavrovouniotis, F. M. Müller, S. Yang. Ant colony optimization with local search for dynamic traveling salesman problems. IEEE Transactions on Cybernetics, vol. 47, no. 7, pp. 1743-1756, 2017. (DOI:10.1109/TCYB.2016.2556742, Supplementary Material, Source Code in C++).
  16. C. Li, T. T. Nguyen, M. Yang, M. Mavrovouniotis, and S. Yang. An adaptive multi-population framework for locating and tracking multiple optima. IEEE Transactions on Evolutionary Computation, vol. 20, no. 4, pp. 590-605, 2016. (DOI:10.1109/TEVC.2015.2504383, Source Code in C++).
  17. J. Eaton, S. Yang, M. Mavrovouniotis. Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays. Soft Computing, vol. 20, no. 8, pp. 2951-2966, 2016. (DOI:10.1007/s00500-015-1924-x).
  18. M. Mavrovouniotis, S. Yang. Ant algorithms with immigrants schemes for the dynamic vehicle routing problem. Information Sciences, vol. 294, pp. 456-477, 2015. (DOI:10.1016/j.ins.2014.10.00, Source Code in C++).
  19. M. Mavrovouniotis, S. Yang. Training neural networks with ant colony optimization algorithms for pattern classification. Soft Computing, vol. 19, no. 6, pp. 1511-1522, 2014. (DOI:10.1007/s00500-014-1334-5).
  20. M. Mavrovouniotis, S. Yang. Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors. Applied Soft Computing, vol. 13, no. 10, pp. 4023-4037, 2013. (DOI:10.1016/j.asoc.2013.05.022, Source Code in C++).
  21. M. Mavrovouniotis, S. Yang. A memetic ant colony optimization algorithm for the dynamic travelling salesman problem. Soft Computing, vol. 15, no. 7, pp. 1405-1425, 2011. (DOI:10.1007/s00500-010-0680-1).

Invited/Contributed Book Chapters

  1. T. Panayiotou, M. Mavrovouniotis, G. Ellinas. Electric vehicle charging management in parking structures, M. Daneshvar, B. Mohammadi-Ivatloo, A. Anvari-Moghaddam and R. Razzaghi (eds.)Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems, Chapter 11, pp. 301-324, Wiley-IEEE Press, 2024. (DOI:10.1002/9781394188789.ch11)
  2. M. Mavrovouniotis, G. Ellinas, I. S. Bonilha, F. M. Müller, M. Polycaprou. Applying the population-based ant colony optimization to the dynamic vehicle routing problem, A. Biswas, S. Mirjalili and C. B. Kalayci (eds.), Advances in Swarm Intelligence, Studies in Computational Intelligence, Springer Nature Switzerland AG, 2022. (DOI:10.1007/978-3-031-09835-2_20).
  3. M. Mavrovouniotis and S. Yang. Ant colony optimization for dynamic combinatorial optimization problems. Y. Tan (ed.), Swarm Intelligence - From Concepts to Applications, Chapter 5, ISBN: 978-1-78561-313-5, IET Book, UK, 2017. (DOI:10.1049/PBCE119F_ch5).
  4. M. Mavrovouniotis, S. Yang. Ant colony optimization algorithms with immigrants schemes for the dynamic travelling salesman problem. S. Yang and X. Yao (eds.), Evolutionary Computation for Dynamic Optimization Problems, Studies in Computational Intelligence, vol. 490, Chapter 13, pp. 331-357, Springer Berlin Heidelberg, 2013. (DOI:10.1007/978-3-642-38416-5_13).
  5. M. Mavrovouniotis, S. Yang. Dynamic vehicle routing: A memetic ant colony optimization approach. A.S. Uyar, E. Ozcan and N. Urquhart (eds.), Automated Scheduling and Planning, Studies in Computational Intelligence, vol. 505, Chapter 9, pp. 283-301, Springer Berlin Heidelberg, 2013. (DOI:10.1007/978-3-642-39304-4_11).

Refereed Conference Papers

  1. M. N. Anastasiadou, M. Mavrovouniotis, D. Hajdimitsis. Ant colony optimization for the dynamic electric vehicle routing problem. Parallel Problem Solving from Nature - PPSN XVIII (PPSN 2024), LNCS, vol. 15148, pp. 69-84, Springer, Cham, 2024. (PDF File, DOI: 10.1007/978-3-031-70055-2_5)
  2. M. Mavrovouniotis, C. Li, D. Yazdani, D. Hadjimitsis. Exchange strategies for multi-colony ant algorithms in dynamic environments. 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, pp. 1-8, 2024. (PDF File, DOI: 10.1109/CEC60901.2024.10612135)
  3. S. P. Neophytides, I. Tsoumas, A. Tsalakou, M. Christoforou, M. Mavrovouniotis, M. Eliades, C. Papoutsa, C. Kontoes, D. G. Hadjimitsis. Invariant learning as a pathway to robust potato yield prediction,Proceedings SPIE 13191, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI, 1319106, Edinburgh, Scotland, U.K., 2024. (PDF File, DOI: 10.1117/12.3031554)
  4. S. P. Neophytides, M. Mavrovouniotis, C. F. Panagiotou, M. Eliades, A. Chekirbane, D. Hadjimitsis. Prediction of groundwater salinization using particle swarm optimization for neural network training. 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Athens, Greece, pp. 1927-1932, 2024. (PDF File, DOI: 10.1109/IGARSS53475.2024.10641861)
  5. S. P. Neophytides, M. Mavrovouniotis, N. Christoforou, T. Drivas, M. Eliades, C. Papoutsa, R-E. Mamouri, K. Fragkos, F. Bachofer, T. Krauss, E. Schwarz, P. Seifert, J. Buehl, G. Schreier, A. Ansmann, C. Kontoes, D. Hadjimitsis. An Earth observation data ecosystem to enhance environmental monitoring and society’s resilience in Cyprus and the EMMENA region. 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Athens, Greece, pp. 2879-2884, 2024. (PDF File, DOI: 10.1109/IGARSS53475.2024.10641643)
  6. E. Neofytou, S. P. Neophytides, M. Mavrovouniotis, M. Eliades, C. Papoutsa, D. Hadjimitsis. An empirical study of regression algorithms for soil organic matter prediction. 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Athens, Greece, pp. 3686-3691, 2024. (PDF File, DOI: 10.1109/IGARSS53475.2024.10642115)
  7. E. Kalogirou, M. Mavrovouniotis, M. Tzouvaras, C. Mettas, E. Evagorou, D. Hadjimitsis. Empirical analysis of oil spill detection methods. 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Athens, Greece, pp. 3673-3677, 2024. (PDF File, DOI: 10.1109/IGARSS53475.2024.10642731)
  8. S. P. Neophytides, G. Guerissi, M. Mavrovouniotis, M. Tzouvaras, F. Del Frate, D. Hadjimitsis. Estimation of crop yield using deep learning for precision agriculture, Proceedings SPIE 13212, Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), 132121A, Paphos, Cyprus, 2024. (PDF File, DOI: https://doi.org/10.1117/12.3037319)
  9. S. P. Neophytides, M. Mavrovouniotis, M. Eliades, F. Bachofer, D. Hadjimitsis. Tree-based explainable clustering for drought severity predictions in United States., Proceedings SPIE 13212, Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), 132121B, Paphos, Cyprus, 2024. (PDF File, DOI: https://doi.org/10.1117/12.307320)
  10. M. Mavrovouniotis, G. Ellinas, C. Li, M. Polycarpou. A multiple ant colony system for the electric vehicle routing problem with time windows. 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, pp. 796-803, 2022. (PDF File, DOI: 10.1109/SSCI51031.2022.10022257)
  11. M. Mavrovouniotis, C. Li, G. Ellinas, M. Polycarpou. Solving the electric capacitated vehicle routing problem with cargo weight. 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, pp. 1-8, 2022. (PDF File, DOI: 10.1109/CEC55065.2022.9870383)
  12. B. Chen, C. Li, S. Zeng, S. Yang, M. Mavrovouniotis. An adaptive evolutionary algorithm for bi-level multi-objective VRPs with real-time traffic conditions. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, pp. 1-8, 2021. (PDF File, DOI: 10.1109/SSCI50451.2021.9659933)
  13. F. M. Müller, I. S. Bonilha, V. A. Schneider, V. B de Souza, G. d-R. da Cruz, M. Mavrovouniotis, G. M. B. Dal Forno. GATeS: A hybrid heuristic to solve the direct marking problem considering cannibalism between products. Proceedings of the LIII Brazilian Symposium on Operational Research (SBPO 2021), João Pessoa, Brazil, vol. pp. 1-10, 2021. (PDF File)
  14. T. Panayiotou, M. Mavrovouniotis, G. Ellinas. On the fair-efficient charging scheduling of electric vehicles in parking structures, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, USA, pp. 1627-1634, 2021. (PDF File, DOI: 10.1109/ITSC48978.2021.9565024)
  15. I. S. Bonilha, M. Mavrovouniotis, F. M. Müller, G. Ellinas, M. Polycarpou. Ant colony optimization with heuristic repair for the dynamic vehicle routing problem. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, pp. 313-320, 2020. (PDF File, DOI: 10.1109/SSCI47803.2020.9308156)
  16. M. Mavrovouniotis, C. Menelaou, S. Timotheou, G. Ellinas, C. Panayiotou, M. Polycarpou. A benchmark test suite for the electric capacitated vehicle routing problem, 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, Scotland, UK, pp. 1-8, 2020. (PDF File, DOI: 10.1109/CEC48606.2020.9185753, Benchmark Set)
  17. L. Xiao, C. Li, J. Wang, M. Mavrovouniotis, S. Yang, X. Dan. Modeling and evolutionary optimization for multi-objective vehicle routing problem with real-time traffic conditions, 2020 12th International Conference on Machine Learning and Computing (ICMLC 2020), Shenzhen, China, pp. 518-523, 2020. (PDF File, DOI: 10.1145/3383972.3384041)
  18. M. Mavrovouniotis, C. Li, G. Ellinas, M. Polycarpou. Parallel ant colony optimization for the electric vehicle routing problem. 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, pp. 1660-1667, 2019. (PDF File, DOI: 10.1109/SSCI44817.2019.9003153)
  19. M. Mavrovouniotis, G. Ellinas, M. Polycarpou. Electric vehicle charging scheduling using ant colony system. 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 2582-2589, 2019. (PDF File, DOI:10.1109/CEC.2019.8789989).
  20. M. Mavrovouniotis, I. S. Bonilha, F. M. Müller, G. Ellinas, M. Polycarpou. Effective ACO-based memetic algorithms for symmetric and asymmetric dynamic changes. 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 2568-2575, 2019. (PDF File, DOI:10.1109/CEC.2019.8790025)
  21. Y. Diao, C. Li, S. Zeng, M. Mavrovouniotis, S. Yang. Memory-based multi-population genetic learning for dynamic shortest path problems. 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 2277-2284, 2019. (PDF File, DOI:10.1109/CEC.2019.8790211)
  22. M. Mavrovouniotis, G. Ellinas, M. Polycarpou. Ant colony optimization for the electric vehicle routing problem. 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, pp. 1234-1241, 2018. (PDF File, DOI:10.1109/SSCI.2018.8628831).
  23. M. Mavrovouniotis, M. Van, S. Yang. Pheromone modification strategy for the dynamic travelling salesman problem with weight changes. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, pp. 1577-1584, 2017. (PDF File, DOI:10.1109/SSCI.2017.8285229).
  24. M. Mavrovouniotis, A. Ioannou, S. Yang. Pre-scheduled colony size variation in dynamic environments. Applications of Evolutionary Computation. EvoApplications 2017, LNCS, vol. 10200, pp. 128-139, Springer, Cham, 2017. (PDF File, DOI:10.1007/978-3-319-55792-2_9).
  25. M. Mavrovouniotis, S. Yang. Empirical study on the effect of population size on MAX-MIN Ant System in dynamic environments. 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Canada, pp. 853-860, 2016. (PDF File, DOI:10.1109/CEC.2016.7743880).
  26. M. Mavrovouniotis, S. Yang. Direct memory schemes for population-based incremental learning in cyclically changing environments. Applications of Evolutionary Computation. EvoApplications 2016, LNCS, vol. 9598, pp. 233-247, Springer, Cham, 2016. (PDF File, DOI:10.1007/978-3-319-31153-1_16). Nominated for Best Paper Award.
  27. M. Mavrovouniotis, S. Yang. Population-based incremental learning with immigrants schemes in changing environments. 2015 IEEE Symposium Series on Computational Intelligence (SSCI), Cape Town, South Africa, pp. 1444-1451, 2015. (PDF File, DOI:10.1109/SSCI.2015.205).
  28. M. Mavrovouniotis, F. M. Müller, S. Yang. An ant colony optimization based memetic algorithm for the dynamic travelling salesman problem. Proceedings of the 2015 Genetic and Evolutionary Computation Conference (GECCO15), pp. 49-56, ACM, New York, NY, USA, 2015. (PDF File, DOI:10.1145/2739480.2754651). Nominated for Best Paper Award.
  29. M. Mavrovouniotis, F. Neri, S. Yang. An adaptive local search algorithm for real-valued dynamic optimization. 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, pp. 1388-1395, 2015. (PDF File, DOI:10.1109/CEC.2015.7257050).
  30. M. Mavrovouniotis, S. Yang. Applying ant colony optimization to dynamic binary-encoded problems. Applications of Evolutionary Computation. EvoApplications 2015, LNCS, vol. 9028, pp. 845-856, Springer, Cham, 2015. (PDF File, DOI: 10.1007/978-3-319-16549-3_68).
  31. M. Mavrovouniotis, S. Yang, X. Yao. Multi-colony ant algorithms for the dynamic travelling salesman problem. 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Orlando, FL, USA, pp. 9-16, 2014. (PDF File, DOI: 10.1109/CIDUE.2014.7007861).
  32. M. Mavrovouniotis, S. Yang. Ant colony optimization with self-adaptive evaporation rate in dynamic environments. 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Orlando, FL, USA, pp. 47-54, 2014. (PDF File, DOI: 10.1109/CIDUE.2014.7007866).
  33. M. Mavrovouniotis, S. Yang. Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, pp. 1542-1549, 2014. (PDF File, DOI: 10.1109/CEC.2014.6900481).
  34. M. Mavrovouniotis, S. Yang. Elitism-based immigrants for ant colony optimization in dynamic environments: adapting the replacement rate. 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, pp. 1752-1759, 2014. (PDF File, DOI:10.1109/CEC.2014.6900482).
  35. M. Mavrovouniotis, S. Yang. Evolving neural networks using ant colony optimization with pheromone trail limits. 2013 UK Workshop on Computational Intelligence (UKCI), Guildford, pp. 16-23, 2013. (PDF File, DOI:10.1109/UKCI.2013.6651282).
  36. M. Mavrovouniotis, S. Yang. Genetic algorithms with adaptive immigrants for dynamic environments. 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, pp. 2130-2137, 2013. (PDF File, DOI:10.1109/CEC.2013.6557821).
  37. M. Mavrovouniotis, S. Yang. Adapting the pheromone evaporation rate in dynamic routing problems. Applications of Evolutionary Computation. EvoApplications 2013, LNCS, vol. 7835, pp. 606-615, Springer, Berlin, Heidelberg, 2013. (PDF File, DOI:10.1007/978-3-642-37192-9_61).
  38. M. Mavrovouniotis, S. Yang, X. Yao. A benchmark generator for dynamic permutation-encoded problems. Parallel Problem Solving from Nature - PPSN XII (PPSN 2012), LNCS, vol. 7492, pp. 508-517, Springer, Berlin, Heidelberg, 2012. (PDF File, DOI:10.1007/978-3-642-32964-7_51, Source Code in C++).
  39. M. Mavrovouniotis, S. Yang. Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem. 2012 IEEE Congress on Evolutionary Computation (CEC), Brisbane, Australia, pp. 2645-2652, 2012. (PDF File, DOI:10.1109/CEC.2012.6252885).
  40. M. Mavrovouniotis, S. Yang. Ant colony optimization with immigrants schemes for the dynamic vehicle routing problem. Applications of Evolutionary Computation, EvoApplications 2012, LNCS, vol. 7248, pp. 519-528, Springer, Berlin, Heidelberg, 2012. (PDF File, DOI:10.1007/978-3-642-29178-4_52).
  41. M. Mavrovouniotis, S. Yang. An immigrants scheme based on environmental information for ant colony optimization for the dynamic travelling salesman problem. Artificial Evolution (EA 2011), LNCS, vol. 7401, pp. 1-12, Springer, Berlin, Heidelberg, 2012. (PDF File, DOI:10.1007/978-3-642-35533-2_1).
  42. M. Mavrovouniotis, S. Yang. An ant system with direct communication for the capacitated vehicle routing problem. Proceedings of the 2011 UK Workshop on Computational Intelligence (UKCI), Manchester, pp. 14-19, 2011. (PDF File).
  43. M. Mavrovouniotis, S. Yang. Memory-based immigrants for ant colony optimization in changing environments. Applications of Evolutionary Computation. EvoApplications 2011, LNCS, vol. 6624, pp. 324-333, Springer, Berlin, Heidelberg, 2011. (PDF File, DOI:10.1007/978-3-642-20525-5_33).
  44. M. Mavrovouniotis, S. Yang. Ant colony optimization with direct communication for the traveling salesman problem. 2010 UK Workshop on Computational Intelligence (UKCI), Colchester, pp. 1-6, 2010. (PDF File, DOI:10.1109/UKCI.2010.5625608).
  45. M. Mavrovouniotis, S. Yang. Ant colony optimization with immigrants schemes in dynamic environments. Parallel Problem Solving from Nature - PPSN XI (PPSN 2010), LNCS, vol. 6238, pp. 371-380, Springer, Berlin, Heidelberg, 2010. (PDF File, DOI:10.1007/978-3-642-15871-1_38).

PhD Thesis

  1. M. Mavrovouniotis. Ant colony optimization in stationary and dynamic environments. Ph.D Thesis, University of Leicester: UK, 2013. (PDF File).

Technical Reports

  1. D. Yazdani, J. Branke, M. N. Omidvar, C. Li, M. Mavrovouniotis, T. T. Nguyen, S. Yang, X. Yao, Generalized Moving Peaks Benchmark, arXiv:2106.06174v1 . 2021.
  2. M. Mavrovouniotis, C. Menelaou, S. Timotheou, Christos Panayiotou, G. Ellinas, M. Polycarpou. Benchmark Set for the IEEE WCCI-2020 Competition on Evolutionary Computation for the Electric Vehicle Routing Problem, Technical Report 2020, KIOS CoE, University of Cyprus, Cyprus, March 2020 (PDF File, DOI:10.13140/RG.2.2.13913.34408, Benchmark Set).
  3. C. Li, M. Mavrovouniotis, S. Yang, and X. Yao. Benchmark Generator for the IEEE WCCI-2014 Competition on Evolutionary Computation for Dynamic Optimization Problems: Dynamic Rotation Peak Benchmark Generator (DRPBG) and Dynamic Composition Benchmark Generator (DCBG). Technical Report 2013, School of Computer Science and Informatics, De Montfort University, U.K., October 2013 (PDF File, DOI:10.13140/RG.2.1.1201.0328).