Konstantinos E. Parsopoulos

81 papers A 5B 12Misc 3Journal 34Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hybrid decomposition and deep learning approach for data-driven FOREX forecasting optimization. J. Glob. Optim. Michail G. Papatsimpas, Konstantinos E. Parsopoulos
2024	J	`jnl`	Optimized neural forms for solving ordinary differential equations. CoRR Adam D. Kypriadis, Isaac E. Lagaris, Aristidis Likas, Konstantinos E. Parsopoulos
2024	J	`jnl`	Parallel algorithm portfolios with adaptive resource allocation strategy. J. Glob. Optim. Konstantinos E. Parsopoulos, Vasileios A. Tatsis, Ilias S. Kotsireas, Panos M. Pardalos
2023	J	`jnl`	Reinforcement learning for enhanced online gradient-based parameter adaptation in metaheuristics. Swarm Evol. Comput. Vasileios A. Tatsis, Konstantinos E. Parsopoulos
2023	J	`jnl`	SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Softw. Impacts Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris
2023	J	`jnl`	Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Appl. Soft Comput. Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris
2021	—	`ch.`	Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems. Metaheuristics for Finding Multiple Solutions Konstantinos E. Parsopoulos, Michael N. Vrahatis
2020	—	`conf`	FOREX Trading Model Based on Forecast Aggregation and Metaheuristic Optimization. SETN Michail G. Papatsimpas, Ioannis Lykogiorgos, Konstantinos E. Parsopoulos
2020	—	`conf`	Reinforced Online Parameter Adaptation Method for Population-based Metaheuristics. SSCI Vasileios A. Tatsis, Konstantinos E. Parsopoulos
2019	—	`ed.`	Analysis of Experimental Algorithms - Special Event, SEA² 2019, Kalamata, Greece, June 24-29, 2019, Revised Selected Papers SEA² Ilias S. Kotsireas, Panos M. Pardalos, Konstantinos E. Parsopoulos, Dimitris Souravlias, Arsenis Tsokas
2019	J	`jnl`	Dynamic parameter adaptation in metaheuristics using gradient approximation and line search. Appl. Soft Comput. Vasileios A. Tatsis, Konstantinos E. Parsopoulos
2019	J	`jnl`	Parallel algorithm portfolios with performance forecasting. Optim. Methods Softw. Dimitris Souravlias, Ilias S. Kotsireas, Panos M. Pardalos, Konstantinos E. Parsopoulos
2018	J	`jnl`	Experimental Assessment of Differential Evolution with Grid-Based Parameter Adaptation. Int. J. Artif. Intell. Tools Vasileios A. Tatsis, Konstantinos E. Parsopoulos
2018	—	`ch.`	Particle Swarm Methods. Handbook of Heuristics Konstantinos E. Parsopoulos
2017	J	`jnl`	Designing bijective S-boxes using Algorithm Portfolios with limited time budgets. Appl. Soft Comput. Dimitris Souravlias, Konstantinos E. Parsopoulos, Gerasimos C. Meletiou
2017	J	`jnl`	Differential Evolution with Grid-Based Parameter Adaptation. Soft Comput. Vasileios A. Tatsis, Konstantinos E. Parsopoulos
2016	J	`jnl`	Circulant weighing matrices: a demanding challenge for parallel optimization metaheuristics. Optim. Lett. Dimitris Souravlias, Konstantinos E. Parsopoulos, Ilias S. Kotsireas
2016	—	`conf`	Grid Search for Operator and Parameter Control in Differential Evolution. SETN Vasileios A. Tatsis, Konstantinos E. Parsopoulos
2016	J	`jnl`	Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution. Digit. Signal Process. Eftychia G. Datsika, Angeliki V. Katsenou, Lisimachos P. Kondi, Evangelos Papapetrou, Konstantinos E. Parsopoulos
2016	B	`conf`	On the Solution of Circulant Weighing Matrices Problems Using Algorithm Portfolios on Multi-core Processors. SEA Ilias S. Kotsireas, Panos M. Pardalos, Konstantinos E. Parsopoulos, Dimitris Souravlias
2016	J	`jnl`	Particle swarm optimization with neighborhood-based budget allocation. Int. J. Mach. Learn. Cybern. Dimitris Souravlias, Konstantinos E. Parsopoulos
2016	—	`conf`	Smart Traffic Lights: A First Parallel Computing Approach. INCoS Dimitris Souravlias, Gabriel Luque, Enrique Alba, Konstantinos E. Parsopoulos
2015	J	`jnl`	A study on visual sensor network cross-layer resource allocation using quality-based criteria and metaheuristic optimization algorithms. Appl. Soft Comput. Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2015	—	`conf`	Game theoretic wireless resource allocation for H.264 MGS video transmission over cognitive radio networks. Visual Information Processing and Communication Alexandros Fragkoulis, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2015	J	`jnl`	Metaheuristic optimization for the Single-Item Dynamic Lot Sizing problem with returns and remanufacturing. Comput. Ind. Eng. Konstantinos E. Parsopoulos, Ioannis Konstantaras, Konstantina Skouri
2015	J	`jnl`	p-MEMPSODE: Parallel and irregular memetic global optimization. Comput. Phys. Commun. Constantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
2014	J	`jnl`	Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks. Signal Process. Image Commun. Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos, Elizabeth S. Bentley
2014	J	`jnl`	Motion-Related Resource Allocation in Dynamic Wireless Visual Sensor Network Environments. IEEE Trans. Image Process. Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2014	—	`conf`	Parallel Algorithm Portfolio with Market Trading-Based Time Allocation. OR Dimitris Souravlias, Konstantinos E. Parsopoulos, Enrique Alba
2013	A	`conf`	Adaptive memetic particle swarm optimization with variable local search pool size. GECCO Costas Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris
2013	—	`conf`	Fairness issues in resource allocation schemes for wireless visual sensor networks. Visual Information Processing and Communication Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2013	J	`jnl`	Geometric Bargaining Approach for Optimizing Resource Allocation in Wireless Visual Sensor Networks. IEEE Trans. Circuits Syst. Video Technol. Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2013	A	`conf`	Particle swarm optimization with budget allocation through neighborhood ranking. GECCO Dimitris Souravlias, Konstantinos E. Parsopoulos
2013	—	`conf`	Power-aware QoS enhancement in multihop DS-CDMA Visual Sensor Networks. DSP Angeliki V. Katsenou, Eftychia G. Datsika, Lisimachos P. Kondi, Evangelos Papapetrou, Konstantinos E. Parsopoulos
2012	—	`conf`	Ant-Based Approaches for Solving Autocorrelation Problems. ANTS Ilias S. Kotsireas, Konstantinos E. Parsopoulos, Grigoris S. Piperagkas, Michael N. Vrahatis
2012	A	`conf`	Integrating particle swarm optimization with reinforcement learning in noisy problems. GECCO Grigoris S. Piperagkas, George K. Georgoulas, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Aristidis Likas
2012	—	`conf`	Kalai-Smorodinsky bargaining solution for optimal resource allocation over wireless DS-CDMA visual sensor networks. Visual Information Processing and Communication Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2012	J	`jnl`	MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. Comput. Phys. Commun. Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
2012	—	`conf`	MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed. GECCO (Companion) Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris
2012	—	`conf`	MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework. GECCO (Companion) Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris
2012	—	`conf`	On the use of clustering for resource allocation in wireless visual sensor networks. Visual Information Processing and Communication Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2012	J	`jnl`	Parallel cooperative micro-particle swarm optimization: A master-slave model. Appl. Soft Comput. Konstantinos E. Parsopoulos
2012	J	`jnl`	Particle swarm optimization with deliberate loss of information. Soft Comput. Costas Voglis, Konstantinos E. Parsopoulos, Isaac E. Lagaris
2012	B	`conf`	Priority-based cross-layer optimization for multihop DS-CDMA Visual Sensor Networks. ICIP Eftychia G. Datsika, Angeliki V. Katsenou, Lisimachos P. Kondi, Evangelos Papapetrou, Konstantinos E. Parsopoulos
2012	B	`conf`	Quality-driven power control and resource allocation in wireless multi-rate Visual Sensor Networks. ICIP Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos, Elizabeth S. Bentley
2012	J	`jnl`	Solving the stochastic dynamic lot-sizing problem through nature-inspired heuristics. Comput. Oper. Res. Grigoris S. Piperagkas, Ioannis Konstantaras, Konstantinos Skouri, Konstantinos E. Parsopoulos
2011	Misc	`conf`	Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution. ICASSP Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2011	—	`conf`	Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks. Visual Information Processing and Communication Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2011	B	`conf`	Resource management for wireless visual sensor networks based on individual video characteristics. ICIP Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2009	A	`conf`	Cooperative micro-differential evolution for high-dimensional problems. GECCO Konstantinos E. Parsopoulos
2009	—	`conf`	Cooperative micro-particle swarm optimization. GEC Summit Konstantinos E. Parsopoulos
2009	—	`conf`	Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks. LION Vasileios L. Georgiou, Sonia Malefaki, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
2009	J	`jnl`	Improving fuzzy cognitive maps learning through memetic particle swarm optimization. Soft Comput. Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2009	J	`jnl`	Tackling magnetoencephalography with particle swarm optimization. Int. J. Bio Inspired Comput. Konstantinos E. Parsopoulos, Fotini Kariotou, George Dassios, Michael N. Vrahatis
2008	B	`conf`	A technique for the visualization of population-based algorithms. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Voula C. Georgopoulos, Michael N. Vrahatis
2008	—	`conf`	Particle Swarm Optimization for Tackling Continuous Review Inventory Models. EvoWorkshops Konstantinos E. Parsopoulos, Konstantina Skouri, Michael N. Vrahatis
2008	A	`conf`	Particle filtering with particle swarm optimization in systems with multiplicative noise. GECCO A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
2007	—	`conf`	Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization. SIS Yiannis G. Petalas, Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Petros P. Groumpos, Michael N. Vrahatis
2007	B	`conf`	Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. IEEE Congress on Evolutionary Computation Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2007	J	`jnl`	Memetic particle swarm optimization. Ann. Oper. Res. Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2007	J	`jnl`	Parameter selection and adaptation in Unified Particle Swarm Optimization. Math. Comput. Model. Konstantinos E. Parsopoulos, Michael N. Vrahatis
2006	J	`jnl`	New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. Int. J. Artif. Intell. Tools Vasileios L. Georgiou, Nicos G. Pavlidis, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
2006	—	`conf`	Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem. Australian Conference on Artificial Intelligence Konstantinos E. Parsopoulos, Michael N. Vrahatis
2005	J	`jnl`	Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. J. Intell. Inf. Syst. Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Petros P. Groumpos, Michael N. Vrahatis
2005	J	`jnl`	Particle Swarm Optimization: An efficient method for tracing periodic orbits in 3D galactic potentials CoRR Charalampos Skokos, Konstantinos E. Parsopoulos, Panos A. Patsis, Michael N. Vrahatis
2005	—	`conf`	Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems. ICNC (3) Konstantinos E. Parsopoulos, Michael N. Vrahatis
2005	—	`conf`	Unified Particle Swarm Optimization in Dynamic Environments. EvoWorkshops Konstantinos E. Parsopoulos, Michael N. Vrahatis
2005	—	`conf`	Unified particle swarm optimization for tackling operations research problems. SIS Konstantinos E. Parsopoulos, Michael N. Vrahatis
2004	—	`conf`	Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. GECCO (1) Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis
2004	Misc	`conf`	Fuzzy Cognitive Maps Learning through Swarm Intelligence. ICAISC Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis
2004	J	`jnl`	On the Computation of All Global Minimizers Through Particle Swarm Optimization. IEEE Trans. Evol. Comput. Konstantinos E. Parsopoulos, Michael N. Vrahatis
2004	B	`conf`	Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2003	B	`conf`	A first study of fuzzy cognitive maps learning using particle swarm optimization. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis
2003	—	`conf`	Computing periodic orbits of nondifferentiable/discontinuous mappings through particle swarm optimization. SIS Konstantinos E. Parsopoulos, Michael N. Vrahatis
2003	J	`jnl`	Evolutionary Operators in Global Optimization with Dynamic Search Trajectories. Numer. Algorithms Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2003	B	`conf`	Investigating the existence of function roots using particle swarm optimization. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Michael N. Vrahatis
2003	B	`conf`	Particle swarm optimizers for Pareto optimization with enhanced archiving techniques. IEEE Congress on Evolutionary Computation Thomas Bartz-Beielstein, Philipp Limbourg, Jörn Mehnen, Karlheinz Schmitt, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	B	`conf`	Particle swarm optimization for integer programming. IEEE Congress on Evolutionary Computation Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	B	`conf`	Particle swarm optimization for minimax problems. IEEE Congress on Evolutionary Computation Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	Misc	`conf`	Particle swarm optimization method in multiobjective problems. SAC Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	J	`jnl`	Recent approaches to global optimization problems through Particle Swarm Optimization. Nat. Comput. Konstantinos E. Parsopoulos, Michael N. Vrahatis