Publications
Authored books
Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimization and Intelligence: Advances and Applications, Information Science Publishing (IGI Global), 2010, ISBN-10: 1615206663, ISBN-13: 978-1-61520-666-7.
Book's page at IGI Global
Book's page at Amazon.com
Souravlias, D., Parsopoulos, K.E., Kotsireas I.S., Pardalos, P.M., Algorithm Portfolios: Advances, Applications, and Challenges, Springer, 2021, ISBN: 978-3-030-68513-3.
Book's page at Springer
Proceedings editorships
Editors: Kotsireas, I.S., Pardalos, P., Parsopoulos, K.E., Souravlias, D., Tsokas, A., Analysis of Experimental Algorithms, Special Event, SEA^2 2019, Kalamata, Greece, June 24-29, 2019, Revised Selected Papers Lecture Notes in Computer Science book series (LNCS, volume 11544) Springer, ISBN: 978-3-030-34028-5.
Book's page at Springer
Journal papers
[J01]. Parsopoulos, K.E., Plagianakos, V.P., Magoulas, G.D., Vrahatis, M.N., Objective Function "Stretching" to Alleviate Convergence to Local Minima, Nonlinear Analysis, Theory, Methods & Applications, 47 (5), pp. 3419-3424, Elsevier, 2001. (PDF)[J02]. Parsopoulos, K.E., Vrahatis, M.N., Recent Approaches to Global Optimization Problems Through Particle Swarm Optimization, Natural Computing, 1 (2-3), pp. 235-306, Springer, 2002. (PDF)
[J03]. Andreou, A.S., Parsopoulos, K.E., Vrahatis, M.N., Zombanakis, G.A., Optimal Versus Required Defence Expenditure: The Case of the Greek-Turkish Arms Race, Defence and Peace Economics, 13 (4), pp. 329-347, Taylor and Francis, 2002. (PDF)
[J04]. Laskari, E.C., Parsopoulos, K.E., Vrahatis, M.N., Evolutionary Operators in Global Optimization with Dynamic Search Trajectories, Numerical Algorithms, 34 (2-4), pp. 393-403, Springer, 2003. (PDF)
[J05]. Parsopoulos, K.E., Vrahatis, M.N., On the Computation of All Global Minimizers Through Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, 8 (3), pp. 211-224, IEEE, 2004. (PDF)
[J06]. Andreou, A.S., Parsopoulos, K.E., Vrahatis, M.N., Zombanakis, G.A., An Alliance Between Cyprus and Greece: Assessing its Partners' Relative Security Contribution, Defence and Peace Economics, 15 (5), pp. 481-495, Taylor and Francis, 2004. (PDF)
[J07]. Bartz-Beielstein, T., Parsopoulos, K.E., Vrahatis, M.N., Design and Analysis of Optimization Algorithms Using Computational Statistics, Applied Numerical Analysis & Computational Mathematics, 1 (2), pp. 413-433, Wiley, 2004. (PDF)
[J08]. Pavlidis, N.G., Parsopoulos, K.E., Vrahatis, M.N., Computing Nash Equilibria Through Computational Intelligence Methods, Journal of Computational and Applied Mathematics, 175, pp. 113-136, Elsevier, 2005. (PDF)
[J09]. Papageorgiou, E.I., Parsopoulos, K.E., Stylios, C.D., Groumpos, P.P., Vrahatis, M.N., Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization, Journal of Intelligent Information Systems, 25 (1), pp. 95-121, Springer, 2005. (PDF)
[J10]. Skokos, Ch., Parsopoulos, K.E., Patsis, P.A., Vrahatis, M.N., Particle Swarm Optimization: An Efficient Method for Tracing Periodic Orbits in 3D Galactic Potentials, Monthly Notices of the Royal Astronomical Society, 359, pp. 251-260, Blackwell Publishing, 2005. (PDF)
[J11]. Georgiou, V.L., Pavlidis, N.G., Parsopoulos, K.E., Alevizos, Ph.D., Vrahatis, M.N., New Self-Adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks, International Journal on Artificial Intelligence Tools, 15 (3), pp. 371-396, World Scientific, 2006. (PDF)
[J12]. Parsopoulos, K.E., Vrahatis, M.N., Parameter Selection and Adaptation in Unified Particle Swarm Optimization, Mathematical and Computer Modelling, 46 (1-2), pp. 198-213, Elsevier, 2007. (PDF)
[J13]. Petalas, Y.G., Parsopoulos, K.E., Vrahatis, M.N., Memetic Particle Swarm Optimization Annals of Operations Research, 156 (1), pp. 99-127, Springer, 2007. (PDF)
[J14]. Petalas, Y.G., Parsopoulos, K.E., Vrahatis, M.N., Stochastic Optimization for Detecting Periodic Orbits of Nonlinear Mappings, Nonlinear Phenomena in Complex Systems, 11 (2), pp. 285-291, 2008. (PDF)
[J15]. Petalas, Y.G., Parsopoulos, K.E., Vrahatis, M.N., Improving Fuzzy Cognitive Maps Learning Through Memetic Particle Swarm Optimization, Soft Computing, 13 (1), pp. 77-94, Springer, 2009. (PDF)
[J16]. Parsopoulos, K.E., Kariotou, F., Dassios, G., Vrahatis, M.N., Tackling Magnetoencephalography with Particle Swarm Optimization, International Journal of Bio-Inspired Computation, 1 (1/2), pp. 32-49, Indesrscience, 2009. (PDF)
[J17]. Piperagkas, G.S., Konstantaras, I., Skouri, K., Parsopoulos, K.E., Solving the Stochastic Dynamic Lot-Sizing Problem Through Nature-Inspired Heuristics, Computers & Operations Research, 39 (7), pp. 1555-1565, Elsevier, 2012. (PDF)
[J18]. Voglis, C., Parsopoulos, K.E., Papageorgiou, D.G., Lagaris, I.E., Vrahatis, M.N., MEMPSODE: A Global Optimization Software Based on Hybridization of Population-Based Algorithms and Local Searches, Computer Physics Communications, 183 (5), pp. 1139-1154, Elsevier, 2012. (PDF)
[J19]. Voglis, C.A., Parsopoulos, K.E., Lagaris, I.E., Particle Swarm Optimization with Deliberate Loss of Information, Soft Computing, 16 (8), pp. 1373-1392, Springer, 2012. (PDF)
[J20]. Parsopoulos, K.E., Parallel Cooperative Micro-Particle Swarm Optimization: A Master-Slave Model, Applied Soft Computing, 12 (11), pp. 3552-3579, Elsevier, 2012. (PDF)
[J21]. Pandremmenou, K., Kondi, L.P., Parsopoulos, K.E., Geometric Bargaining Approach for Optimizing Allocation in Wireless Visual Sensor Networks, IEEE Transactions on Circuits and Systems for Video Technology, 23 (8), pp. 1388-1401, IEEE, 2013. (PDF)
[J22]. Katsenou, A.V., Kondi, L.P., Parsopoulos, K.E., Motion-Related Resource Allocation in Dynamic Wireless Visual Sensor Network Environments, IEEE Transactions on Image Processing, 23 (1), pp. 56-68, IEEE, 2014. (PDF)
[J23]. Pandremmenou, K., Kondi, L.P., Parsopoulos, K.E., Bentley, E.S., Game-Theoretic Solutions through Intelligent Optimization for Efficient Resource Management in Wireless Visual Sensor Networks, Signal Processing: Image Communication, 29 (4), pp. 472-493, Elsevier, 2014. (PDF)
[J24]. Pandremmenou, K., Kondi, L.P., Parsopoulos, K.E., A Study on Visual Sensor Network Cross-Layer Resource Allocation Using Quality-Based Criteria and Metaheuristic Optimization Algorithms, Applied Soft Computing, 26, pp. 149-165, Elsevier, 2015. (PDF)
[J25]. Parsopoulos, K.E., Konstantaras, I., Skouri, K., Metaheuristic Optimization for the Single-Item Dynamic Lot Sizing Problem with Returns and Remanufacturing, Computers & Industrial Engineering, 83, pp. 307-315, Elsevier, 2015. (PDF)
[J26]. Voglis, C., Hadjidoukas, P.E., Parsopoulos, K.E., Papageorgiou, D.G., Lagaris, I.E., Vrahatis, M.N., P-MEMPSODE: Parallel and Irregular Memetic Global Optimization, Computer Physics Communications, 197, pp. 190-211, Elsevier, 2015. (PDF)
[J27]. Souravlias, D., Parsopoulos, K.E., Particle Swarm Optimization with Neighborhood-Based Budget Allocation, International Journal of Machine Learning and Cybernetics, 7 (3), pp. 451-477, Springer, 2016. (PDF)
[J28]. Souravlias, D., Parsopoulos, K.E., Kotsireas, I.S., Circulant Weighing Matrices: A Demanding Challenge for Parallel Optimization Metaheuristics, Optimization Letters, 10 (6), pp. 1303-1314, Springer, 2016. (PDF)
[J29]. Datsika, E.G., Katsenou, A.V., Kondi, L.P., Papapetrou, E., Parsopoulos, K.E., Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution, Digital Signal Processing, 50, pp. 203-217, Elsevier, 2016. (PDF)
[J30]. Tatsis, V.A., Parsopoulos, K.E., Differential Evolution with Grid-Based Parameter Adaptation, Soft Computing, 21 (8), pp. 2105-2127, Springer, 2017. (PDF)
[J31]. Souravlias, D., Parsopoulos, K.E., Meletiou, G.C., Designing Bijective S-boxes Using Algorithm Portfolios with Limited Time Budgets, Applied Soft Computing, 59, pp. 475-486, Elsevier, 2017. (PDF)
[J32]. Tatsis, V.A., Parsopoulos, K.E., Experimental Assessment of Differential Evolution with Grid-Based Parameter Adaptation, International Journal on Artificial Intelligence Tools, 27 (4), pp. 1-20, World Scientific, 2018. (PDF)
[J33]. Souravlias, D., Kotsireas, I.S., Pardalos, P.M., Parsopoulos, K.E., Parallel Algorithm Portfolios with Performance Forecasting, Optimization Methods and Software, 34 (6), pp. 1231-1250, Taylor & Francis, 2019. (PDF)
[J34]. Tatsis, V.A., Parsopoulos, K.E., Dynamic Parameter Adaptation in Metaheuristics Using Gradient Approximation and Line Search, Applied Soft Computing, 74, pp. 368-384, Elsevier, 2019. (PDF)
[J35]. Triantali, D.G., Parsopoulos, K.E., Lagaris, I.E., Single-objective and Multi-objective Optimization for Variance Counterbalancing in Stochastic Learning, Applied Soft Computing, 142, pp.1-21, Elsevier, 2023.
[J36]. Triantali, D.G., Parsopoulos, K.E., Lagaris, I.E., SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning, Software Impacts, 17, Elsevier, 2023.
[J37]. Tatsis, V.A., Parsopoulos, K.E., Reinforcement Learning for Enhanced Online Gradient-Based Parameter Adaptation in Metaheuristics, Swarm and Evolutionary Computation, 83, pp. 1-19, Elsevier, 2023.
[J38]. Parsopoulos, K.E., Tatsis, V.A., Kotsireas, I.S., Pardalos, P.M., Parallel Algorithm Portfolios with Adaptive Resource Allocation Strategy, Journal of Global Optimization, 88, pp. 685-705, Springer, 2024.
Book chapters
[B01]. Parsopoulos, K.E., Plagianakos, V.P., Magoulas, G.D., Vrahatis, M.N., Improving Particle Swarm Optimizer by Function "Stretching", Advances in Convex Analysis and Global Optimization, N. Hadjisavvas and P.M. Pardalos (eds.), Chapter 28, pp. 445-457, Kluwer Academic Publishers (Nonconvex Optimization and Applications series, Volume 54), The Netherlands, 2001. (PDF)[B02]. Andreou, A.S., Parsopoulos, K.E., Vrahatis, M.N., Zombanakis, G.A., Searching for the Optimal Defence Expenditure: An Answer in the Context of the Greek-Turkish Arms Race, Financial Engineering, E-commerse and Supply Chain, P.M. Pardalos and V. Tsitsiringos (eds.), Chapter 7, Kluwer (Applied Optimization series, Vol. 70), 2002. (PDF)
[B03]. Parsopoulos, K.E., Vrahatis, M.N., Multiobjective Particle Swarm Optimization Approaches, Multi-Objective Optimization in Computational Intelligence: Theory and Practice, Lam Thu Bui and Sameer Alam (eds.), Chapter 2, pp. 20-42, IGI Global, 2008. (PDF)
[B04]. Ganchev, T.D., Parsopoulos, K.E., Vrahatis, M.N., Facotakis, N.D., Partially Connected Locally Recurrent Probabilistic Neural Networks, Recurrent Neural Networks, X.-L. Hu and P. Balasubramaniam (eds.), Chapter 18, pp. 377-400, I-Tech, Vienna, Austria, 2008. (PDF)
[B05]. Parsopoulos, K.E., Particle Swarm Methods, Handbook of Heuristics, M.G.C. Resende, R. Marti, P. Pardalos (eds.), Springer, 2016. (PDF)
[B06]. Parsopoulos, K., Montes De Oca, M., Swarm-based Optimization Algorithms, Encyclopedia of Electrical and Electronics Engineering, Wiley, 2017. (PDF)
[B07]. Sarivougioukas, J., Vagelatos, A., Parsopoulos, K., Lagaris, I., Home UbiHealth, Encyclopedia of Information Science and Technology (4th ed.), Chapter 675, pp. 7765-7774, IGI Global, 2018 (reprinted as Chapter 85 in Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, Vol. II, pp. 1165-1175, IGI Global, 2019). (PDF)
[B08]. Souravlias, D., Parsopoulos, K.E., On the Design of Metaheuristics-Based Algorithm Portfolios, Open Problems in Optimization and Data Analysis (Springer Optimization and its Applications, Volume 141), P.M. Pardalos and A. Migdalas (eds.), pp. 271-284, Springer, 2018. (PDF)
[B09]. Tatsis, V.A., Parsopoulos, K.E., Experimental Sensitivity Analysis of Grid-Based Parameter Adaptation Method, Heuristics for Optimization and Learning (Springer Studies in Computational Intelligence, Volume 906), F. Yalaoui, L. Amodeo, El-Ghazali Talbi (eds.), pp. 335-346, Springer, 2021. (PDF)
[B10]. Parsopoulos, K.E., Vrahatis, M.N., Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems, Metaheuristics for Finding Multiple Solutions (Springer Natural Computing Series), M. Preuss, M.G. Epitropakis, X. Li, J.E. Fieldsend (eds.), pp. 129-144, Springer, 2021. (PDF)
[B11]. Parsopoulos, K.E., Kotsireas, I.S., Pardalos, P.M., Algorithm Portfolios, Encyclopedia of Optimization, P.M. Pardalos, O.A. Prokopyev (eds.), Springer, 2023.
[B12]. Tatsis, V.A., Parsopoulos, K.E., Parameter Tuning and Control in Metaheuristics, Encyclopedia of Optimization, P.M. Pardalos, O.A. Prokopyev (eds.), Springer, 2023.
[B13]. Parsopoulos, K.E., Engelbrecht, A.P., Particle Swarm Optimization and Differential Evolution, Encyclopedia of Optimization, P.M. Pardalos, O.A. Prokopyev (eds.), Springer, 2023.
Edited volumes - Conference proceedings
[C01]. Parsopoulos, K.E., Plagianakos, V.P., Magoulas, G.D., Vrahatis, M.N., Stretching Technique for Obtaining Global Minimizers Through Particle Swarm Optimization, Proceedings of the Particle Swarm Optimization Workshop, Indianapolis (IN), USA, 2001, pp. 22-29. (PDF)[C02]. Parsopoulos, K.E., Vrahatis, M.N., Modification of the Particle Swarm Optimizer for Locating all the Global Minima, Artificial Neural Networks and Genetic Algorithms, V. Kurkova, N.C. Steele, R. Neruda, M. Karny (eds.), pp. 324-327, Springer (Wien), Computer Science series, 2001. (PDF)
[C03]. Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimizer in Noisy and Continuously Changing Environments, Artificial Intelligence and Soft Computing, M.H. Hamza (ed.), pp. 289-294, IASTED/ACTA Press (Anaheim, CA, USA), 2001. (PDF)
[C04]. Parsopoulos, K.E., Laskari, E.C., Vrahatis, M.N., Solving L1 Norm Errors-In-Variables Problems Using Particle Swarm Optimizer, Artificial Intelligence and Applications, M.H. Hamza (ed.), pp. 185-190, IASTED/ACTA Press (Anaheim, CA, USA), 2001. (PDF)
[C05]. Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimization for Imprecise Problems, Scattering and Biomedical Engineering, Modeling and Applications, D. Fotiadis and C. Massalas (eds.), pp. 254-264, World Scientific, 2002. (PDF)
[C06]. Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimization Method in Multiobjective Problems, Proceedings of the ACM 2002 Symposium on Applied Computing (ACM SAC 2002), Madrid, Spain, pp. 603-607, 2002. (PDF)
[C07]. Laskari, E.C., Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimization for Integer Programming, Proceedings of the IEEE 2002 Congress on Evolutionary Computation (IEEE CEC 2002), Honolulu (HI), pp. 1582-1587, 2002. (PDF)
[C08]. Laskari, E.C., Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimization for Minimax Problems, Proceedings of the IEEE 2002 Congress on Evolutionary Computation (IEEE CEC 2002), Honolulu (HI), pp. 1576-1581, 2002. (PDF)
[C09]. Parsopoulos, K.E., Vrahatis, M.N., Initializing the Particle Swarm Optimizer Using the Nonlinear Simplex Method, Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation, A. Grmela and N.E. Mastorakis (eds.), pp. 216-221, WSEAS Press, 2002. (PDF)
[C10]. Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimizer in Nonsmooth Problems, Nonsmooth/Nonconvex Mechanics with Applications in Engineering, C.C. Baniotopoulos (ed.), pp. 73-80, Editions ZITI, 2002. (PDF)
[C11]. Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimization Method for Constrained Optimization Problems, Intelligent Technologies-Theory and Applications: New Trends in Intelligent Technologies, P. Sincak, J. Vascak, V. Kvasnicka, J. Pospichal (eds.), pp. 214-220, IOS Press (Frontiers in Artificial Intelligence and Applications series, Vol. 76), 2002. (PDF)
[C12]. Parsopoulos, K.E., Laskari, E.C., Vrahatis, M.N., Particle Identification by Light Scattering Through Evolutionary Algorithms, 1st International Conference for Mathematics and Informatics for Industry (MII 2003), Thessaloniki, Greece, pp. 97-108, 2003. (PDF)
[C13]. Parsopoulos, K.E., Vrahatis, M.N., Computing Periodic Orbits Of Nondifferentiable/Discontinuous Mappings Through Particle Swarm Optimization, IEEE 2003 Swarm Intelligence Symposium (IEEE SIS 2003), Indianapolis (IN), USA, pp. 34-41, 2003. (PDF)
[C14]. Pavlidis, N.G., Parsopoulos, K.E., Vrahatis, M.N., Computing Nash Equilibria Through Particle Swarm Optimization, Proceedings of the International Conference of Computational Methods in Sciences and Enginnering 2003 (ICCMSE 2003), T.E. Simos (ed.), Kastoria, Greece, pp. 484-489, World Scientific Publishing, 2003. (PDF)
[C15]. Parsopoulos, K.E., Papageorgiou, E.I., Groumpos, P.P., Vrahatis, M.N., A First Study of Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization, Proceedings of the IEEE 2003 Congress on Evolutionary Computation (IEEE CEC 2003), Canberra, Australia, pp. 1440-1447, 2003. (PDF)
[C16]. Parsopoulos, K.E., Vrahatis, M.N., Investigating the Existence of Function Roots Using Particle Swarm Optimization, Proceedings of the IEEE 2003 Congress on Evolutionary Computation (IEEE CEC 2003), Canberra, Australia, pp. 1448-1455, 2003. (PDF)
[C17]. Bartz-Beielstein, T., Limbourg, P., Mehnen, J., Schmitt, K., Parsopoulos, K.E., Vrahatis, M.N., Particle Swarm Optimizers for Pareto Optimization with Enhanced Archiving Techniques, Proceedings of the IEEE 2003 Congress on Evolutionary Computation (IEEE CEC 2003), Canberra, Australia, pp. 1780-1787, 2003. (PDF)
[C18]. Parsopoulos, K.E., Papageorgiou, E.I., Groumpos, P.P., Vrahatis, M.N., Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems, Lecture Notes in Computer Science (LNCS), Vol. 3102, pp. 402-413, 2004, Springer. (PDF)
[C19]. Papageorgiou, E.I., Parsopoulos, K.E., Groumpos, P.P., Vrahatis, M.N., Fuzzy Cognitive Maps Learning Through Swarm Intelligence, Lecture Notes in Artificial Intelligence (LNAI), Vol. 3070, pp. 344-349, 2004, Springer. (PDF)
[C20]. Parsopoulos, K.E., Tasoulis, D.K., Vrahatis, M.N., Multiobjective Optimization Using Parallel Vector Evaluated Particle Swarm Optimization, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), Innsbruck, Austria, pp. 823-828, Vol. 2, ACTA Press, 2004. (PDF)
[C21]. Parsopoulos, K.E., Tasoulis, D.K., Pavlidis, N.G., Plagianakos, V.P., Vrahatis, M.N., Vector Evaluated Differential Evolution for Multiobjective Optimization, Proceedings of the IEEE 2004 Congress on Evolutionary Computation (IEEE CEC 2004), Portland, USA, pp. 204-211, 2004. (PDF)
[C22]. Georgiou, V.L., Pavlidis, N.G., Parsopoulos, K.E., Alevizos, Ph.D., Vrahatis, M.N., Optimizing the Performance of Probabilistic Neural Networks in a Bioinformatic Task, Proceedings of the EUNITE 2004 Conference, pp. 34-40, 2004. (PDF)
[C23]. Parsopoulos, K.E., Papageorgiou, E.I., Groumpos, P.P., Vrahatis, M.N., Recent Advances in Fuzzy Cognitive Maps Learning Using Evolutionary Computation Techniques, Proceedings of the 1st International Conference "From Scientific Computing to Computational Engineering" (IC-SCCE 2004), Athens, Greece, 2004. (PDF)
[C24]. Skokos, Ch.D., Parsopoulos, K.E., Patsis, P.A., Vrahatis, M.N., Tracing Periodic Orbits in 3D Galactic Potentials by the Particle Swarm Optimization Method, Proceedings of the 1st International Conference "From Scientific Computing to Computational Engineering" (IC-SCCE 2004), Athens, Greece, pp. 1292-1298, 2004. (PDF)
[C25]. Bartz-Beielstein, T., Parsopoulos, K.E., Vrahatis, M.N., Analysis of Particle Swarm Optimization Using Computational Statistics, Proceedings of the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2004), Chalkis, Greece, pp. 34-37, Wiley-VCH Verlag GmbH & Co., Weinheim, 2004. (PDF)
[C26]. Parsopoulos, K.E., Vrahatis, M.N., UPSO: A Unified Particle Swarm Optimization Scheme, Lecture Series on Computer and Computational Sciences, Vol. 1, Proceedings of the International Conference of "Computational Methods in Sciences and Engineering" (ICCMSE 2004), pp. 868-873, VSP International Science Publishers, Zeist, The Netherlands, 2004. (PDF)
[C27]. Parsopoulos, K.E., Kontogianni, V.A., Pytharouli, S.I., Psimoulis, P.A., Stiros, S.C., Vrahatis, M.N., Nonlinear Data Fitting for Landslides Modeling, Lecture Series on Computer and Computational Sciences, Vol. 1, Proceedings of the International Conference of "Computational Methods in Sciences and Engineering" (ICCMSE 2004), pp. 874-879, VSP International Science Publishers, Zeist, The Netherlands, 2004. (PDF)
[C28]. Georgiou, V.L., Pavlidis, N.G., Parsopoulos, K.E., Alevizos, Ph.D., Vrahatis, M.N., Evolutionary Adaptive Schemes of Probabilistic Neural Networks, Lecture Series on Computer and Computational Sciences, Vol. 1, Proceedings of the International Conference of "Computational Methods in Sciences and Engineering" (ICCMSE 2004), pp. 852-855, VSP International Science Publishers, Zeist, The Netherlands, 2004. (PDF)
[C29]. Parsopoulos, K.E., Kontogianni, V.A., Pytharouli, S.I., Psimoulis, P.A., Stiros, S.C., Vrahatis, M.N., Optimal Fitting of Curves in Monitoring Data using the L-1, L-2 and L-∞ Norms, 3rd International Conference on Engineering Surveying, Bratislava, Slovakia, 2004. (PDF)
[C30]. Parsopoulos, K.E., Vrahatis, M.N., Unified Particle Swarm Optimization in Dynamic Environments, Lecture Notes in Computer Science (LNCS), Vol. 3449, pp. 590-599, 2005, Springer. (PDF)
[C31]. Parsopoulos, K.E., Vrahatis, M.N., Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems, Lecture Notes in Computer Science (LNCS), Vol. 3612, pp. 582-591, 2005, Springer. (PDF)
[C32]. Parsopoulos, K.E., Vrahatis, M.N., Unified Particle Swarm Optimization for Tackling Operations Research Problems, IEEE 2005 Swarm Intelligence Symposium (IEEE SIS 2005), Pasadena (CA), USA, pp. 53-59, 2005. (PDF)
[C33]. Petalas, Y.G., Papageorgiou, E.I., Parsopoulos, K.E., Groumpos, P.P., Vrahatis, M.N., Fuzzy Cognitive Maps Learning using Memetic Algorithms, Proceedings of the International Conference of "Computational Methods in Sciences and Engineering" (ICCMSE 2005), pp. 1420-1423, 2005, Brill Academic Publishers. (PDF)
[C34]. Petalas, Y.G., Papageorgiou, E.I., Parsopoulos, K.E., Groumpos, P.P., Vrahatis, M.N., Interval Cognitive Maps, Proceedings of the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2005), pp. 882-885, 2005, Wiley-VCH Verlag GmbH & Co., Weinheim. (PDF)
[C35]. Parsopoulos, K.E., Vrahatis, M.N., Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem, Lecture Notes in Artificial Intelligence (LNAI), Vol. 4304, pp. 760-769, 2006, Springer. (PDF)
[C36]. Kotsireas, I.S., Koukouvinos, C., Parsopoulos, K.E., Vrahatis, M.N., Unified Particle Swarm Optimization for Hadamard Matrices of Williamson Type, Proceedings of the 1st International Conference on Mathematical Aspects of Computer and Information Sciences (MACIS 2006), Beijing, China, pp. 113-121, 2006. (PDF)
[C37]. Petalas, Y.G., Parsopoulos, K.E., Papageorgiou, E.I., Groumpos, P.P., Vrahatis, M.N., Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization, IEEE 2007 Swarm Intelligence Symposium (IEEE SIS 2007), Hawaii (HI), USA, pp. 16-22, 2007. (PDF)
[C38]. Petalas, Y.G., Parsopoulos, K.E., Vrahatis, M.N., Entropy-Based Memetic Particle Swarm Optimization for Computing Periodic Orbits of Nonlinear Mappings, IEEE 2007 Congress on Evolutionary Computation (IEEE CEC 2007), Singapore, pp. 2040-2047, 2007. (PDF)
[C39]. Parsopoulos, K.E., Skouri, K., Vrahatis, M.N., Particle Swarm Optimization for Tackling Continuous Review Inventory Models, Lecture Notes in Computer Science (LNCS), Vol. 4974, pp. 103-112, 2008, Springer. (PDF)
[C40]. Parsopoulos, K.E., Georgopoulos, V.C., Vrahatis, M.N., A Technique for the Visualization of Population-Based Algorithms, IEEE 2008 Congress on Evolutionary Computation (IEEE CEC 2008), Hong Kong, pp. 1694-1701, 2008. (PDF)
[C41]. Klamargias, A.D., Parsopoulos, K.E., Alevizos, Ph.D., Vrahatis, M.N., Particle Filtering with Particle Swarm Optimization in Systems with Multiplicative Noise, Genetic and Evolutionary Computation Conference 2008 (GECCO 2008), Atlanta (GA), USA, pp. 57-62, 2008. (PDF)
[C42]. Georgiou, V.L., Malefaki, S., Parsopoulos, K.E., Alevizos, Ph.D., Vrahatis, M.N., Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks, Lecture Notes in Computer Science (LNCS), Vol. 5851, pp. 30-44, 2009, Springer. (PDF)
[C43]. Parsopoulos, K.E., Cooperative Micro-Particle Swarm Optimization, ACM 2009 World Summit on Genetic and Evolutionary Computation (ACM GEC 2009), Shanghai, China, pp. 467-474, 2009. (PDF)
[C44]. Parsopoulos, K.E., Cooperative Micro-Differential Evolution for High-Dimensional Problems, Genetic and Evolutionary Computation Conference 2009 (GECCO 2009), Montreal, Canada, pp. 531-538, 2009 (Nominated for best paper award). (PDF)
[C45]. Pandremmenou, K., Kondi, L.P., Parsopoulos, K.E., Optimal Power Allocation and Joint Source-Channel Coding for Wireless DS-CDMA Visual Sensor Networks, Visual Information Processing and Communication II (Proceedings of SPIE-IS&T Electronic Imaging), A. Said, O.G. Guleryuz, R.L. Stevenson (eds.), SPIE Vol. 7882, Article 788206, San Francisco, CA, 2011. (PDF)
[C46]. Pandremmenou, K., Kondi, L.P., Parsopoulos, K.E., Optimal Power Allocation and Joint Source-Channel Coding for Wireless DS-CDMA Visual Sensor Networks Using the Nash Bargaining Solution, The 36th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Prague, Czech Republic, pp. 2340-2343, IEEE. (PDF)
[C47]. Katsenou, A.V., Kondi, L.P., Parsopoulos, K.E., Resource Management for Wireless Visual Sensor Networks Based on Individual Video Characteristics, IEEE International Conference on Image Processing 2011 (IEEE ICIP 2011), Brussels, Belgium, pp. 149-152, 2011, IEEE. (PDF)
[C48]. Piperagkas, G.S., Voglis, C., Tatsis, V.A., Parsopoulos, K.E., Skouri, K., Applying PSO and DE on Multi-Item Inventory Problem with Supplier Selection, The 9th Metaheuristics International Conference (MIC 2011), Udine, Italy, pp. 359-368, 2011. (PDF)
[C49]. Kotsireas, I.S., Parsopoulos, K.E., Piperagkas, G.S., Vrahatis, M.N., Ant-Based Approaches for Solving Autocorrelation Problems, Lecture Notes in Computer Science (LNCS), Vol. 7461, pp. 220-227, 2012, Springer. (PDF)
[C50]. Katsenou, A.V., Kondi, L.P., Parsopoulos, K.E., On the Use of Clustering for Resource Allocation in Wireless Visual Sensor Networks, Visual Information Processing and Communication III (Proceedings of SPIE-IS&T Electronic Imaging), A. Said, O.G. Guleryuz, R.L. Stevenson (eds.), SPIE Vol. 8305, Article 83050S, Burlingame (CA), USA, 2012. (PDF)
[C51]. Pandremmenou, K., Kondi, L.P., Parsopoulos, K.E., Kalai-Smorodinsky Bargaining Solution for Optimal Resource Allocation Over Wireless DS-CDMA Visual Sensor Networks, Visual Information Processing and Communication III (Proceedings of SPIE-IS&T Electronic Imaging), A. Said, O.G. Guleryuz, R.L. Stevenson (eds.), SPIE Vol. 8305, Article 83050T, Burlingame (CA), USA, 2012. (PDF)
[C52]. Piperagkas, G.S., Georgoulas, G., Parsopoulos, K.E., Stylios, C.D., Likas, A.C., Integrating Particle Swarm Optimization with Reinforcement Learning in Noisy Problems, Genetic and Evolutionary Computation Conference 2012 (GECCO 2012), Philadelphia (PA), USA, pp. 65-72, 2012. (PDF)
[C53]. Voglis, C., Piperagkas, G.S., Parsopoulos, K.E., Papageorgiou, D.G., Lagaris, I.E., MEMPSODE: Comparing Particle Swarm Optimization and Differential Evolution on a Hybrid Memetic Global Optimization Framework, Black-Box Optimization Workshop, Genetic and Evolutionary Computation Conference 2012 (GECCO 2012 Companion), Philadelphia (PA), USA, pp. 253-260, 2012. (PDF)
[C54]. Voglis, C., Piperagkas, G.S., Parsopoulos, K.E., Papageorgiou, D.G., Lagaris, I.E., MEMPSODE: An Empirical Assessment of Local Search Algorithm Impact on a Memetic Algorithm Using Noiseless Testbed, Black-Box Optimization Workshop, Genetic and Evolutionary Computation Conference 2012 (GECCO 2012 Companion), Philadelphia (PA), USA, pp. 245-252, 2012. (PDF)
[C55]. Katsenou, A.V., Kondi, L.P., Parsopoulos, K.E., Bentley, E., Quality-Driven Power Control and Resource Allocation in Wireless Multi-rate Visual Sensor Networks, IEEE International Conference on Image Processing 2012 (IEEE ICIP 2012), Orlando (FL), USA, pp. 1117-1120, 2012. (PDF)
[C56]. Datsika, E.G., Katsenou, A.V., Kondi, L.P., Papapetrou, E., Parsopoulos, K.E., Priority-Based Cross-Layer Optimization for Multihop DS-CDMA Visual Sensor Networks, IEEE International Conference on Image Processing 2012 (IEEE ICIP 2012), Orlando (FL), USA, pp. 1102-1104, 2012. (PDF)
[C57]. Tatsis, V.A., Parsopoulos, K.E., Skouri, K., Konstantaras, I., An Ant-Based Optimization Approach for Inventory Routing, Advances in Intelligent Systems and Computing, Vol. 227, M. Emmerich et al. (eds.), pp. 107-121, 2013, Springer. (PDF)
[C58]. Pandremmenou, K., Kondi, L.P., Parsopoulos, K.E., Fairness Issues in Resource Allocation Schemes for Wireless Visual Sensor Networks, Visual Information Processing and Communication IV (Proceedings of SPIE-IS&T Electronic Imaging), SPIE Vol. 8666, San Francisco (CA), USA, 2013. (PDF)
[C59]. Souravlias, D., Parsopoulos, K.E., Particle Swarm Optimization with Budget Allocation Through Neighborhood Ranking, Genetic and Evolutionary Computation Conference 2013 (GECCO 2013), Amsterdam, The Netherlands, pp. 105-112, 2013. (PDF)
[C60]. Voglis, C., Hadjidoukas, P.E., Parsopoulos, K.E., Papageorgiou, D.G., Lagaris, I.E., Adaptive Memetic Particle Swarm Optimization with Variable Local Search Pool Size, Genetic and Evolutionary Computation Conference 2013 (GECCO 2013), Amsterdam, The Netherlands, pp. 113-120, 2013. (PDF)
[C61]. Katsenou, A.V., Datsika, E.G., Kondi, L.P., Papapetrou, E., Parsopoulos, K.E., Power Aware QoS Enhancement in Multihop DS-CDMA Visual Sensor Networks, 18th International Conference on Digital Signal Processing (DSP 2013), Santorini, Greece. (PDF)
[C62]. Moustaki, E., Parsopoulos, K.E., Konstantaras, I., Skouri, K., Ganas, I., A First Study of Particle Swarm Optimization on the Dynamic Lot Sizing Problem with Product Returns, XI Balkan Conference on Operational Research (BALCOR 2013), Belgrade, Serbia, pp. 348-356, 2013. (PDF)
[C63]. Souravlias, D., Parsopoulos, K.E., Alba, E., Parallel Algorithm Portfolio with Market Trading-based Time Allocation, Operations Research Proceedings 2014, by M. Lubbecke et al. (eds.), pp. 567-574, 2014, Springer. (PDF)
[C64]. Fragkoulis, A., Kondi, L.P., Parsopoulos, K.E., Game Theoretic Wireless Resource Allocation for H.264 MGS Video Transmission Over Cognitive Radio Networks, Visual Information Processing and Communication VI (SPIE-IS&T Electronic Imaging 2015), San Francisco (CA), USA, 2015. (PDF)
[C65]. Kotsireas, I.S., Pardalos, P.M., Parsopoulos, K.E., Souravlias, D., On the Solution of Circulant Weighing Matrices Problems Using Algorithm Portfolios on Multi-core Processors, Lecture Notes in Computer Science (LNCS), Vol. 9685, pp. 184-200, 2016, Springer. (PDF)
[C66]. Korkou, Th., Souravlias, D., Parsopoulos, K.E., Skouri, K., Metaheuristic Optimization for Logistics in Natural Disasters, Springer Proceedings in Mathematics & Statistics, Vol. 185 (Dynamics of Disasters - Key Concepts, Models, Algorithms, and Insights), pp. 113-134, 2016, Springer. (PDF)
[C67]. Tatsis, V.A., Parsopoulos, K.E., Grid Search for Operator and Parameter Control in Differential Evolution, 9th Hellenic Conference on Artificial Intelligence (SETN 2016), Thessaloniki, Greece, 2016, ACM International Conference Proceeding Series. (PDF)
[C68]. Souravlias, D., Luque, G., Alba, E., Parsopoulos, K.E., Smart Traffic Lights: A First Parallel Computing Approach, 8th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2016), Ostrava, Czech Republic, 2016. (PDF)
[C69]. Tatsis, V.A., Parsopoulos, K.E., Grid-Based Parameter Adaptation in Particle Swarm Optimization, 12th Metaheuristics International Conference (MIC 2017), Barcelona, Spain, pp. 217-226, 2017. (PDF)
[C70]. Tatsis, V.A., Parsopoulos, K.E., On the Sensitivity of Grid-Based Parameter Adaptation Method, 7th International Conference on Metaheuristics and Nature Inspired Computing (META 2018), Marrakech, Morocco, pp. 86-94, 2018. (PDF)
[C71]. Papatsimpas, M.G., Lykogiorgos, I., Parsopoulos, K.E., FOREX Trading Model Based on Forecast Aggregation and Metaheuristic Optimization, 11th EETN Conference on Artificial Intelligence (SETN 2020), Athens, Greece, 2020, ACM Digital Library. (PDF)
[C72]. Tatsis, V.A., Parsopoulos, K.E., Reinforced Online Parameter Adaptation Method for Population-based Metaheuristics, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020), Canberra, Australia, 2020, IEEE. (PDF)
[C73]. Parsopoulos, K.E., Tatsis, V.A., Kotsireas, I.S., Pardalos, P.M., Parallel Algorithm Portfolios with Adaptive Resource Allocation Strategy, World Congress on Global Optimization (WCGO 2021), Athens, Greece, 2021. (PDF)
[C74]. Triantali, D.G., Kypriadis, A.D., Parsopoulos, K.E., Optimization-based Association Rule Mining Using Weighted Transactions: A Case Study, 2022 International Conference on Frontiers of Communications, Information System and Data Science (CISDS 2022), Guangzhou, China, pp. 41-45, 2022, IEEE.
[C75]. Triantali, D.G., Parsopoulos, K.E., Skouri, K., Optimized Vendor Managed Inventory for Replenishment and Distribution Decisions, World Congress on Global Optimization (WCGO 2023), Athens, Greece, 2023.
[C76]. Papatsimpas, M.G., Parsopoulos, K.E., Optimized FOREX Rates Forecasting Through EMD-LSTM Hybrid Model, World Congress on Global Optimization (WCGO 2023), Athens, Greece, 2023.
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