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ORCIDKonstantinos E. Parsopoulos
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2020 – today
- 2024
[j31]Konstantinos E. Parsopoulos
, Vasileios A. Tatsis, Ilias S. Kotsireas, Panos M. Pardalos:
Parallel algorithm portfolios with adaptive resource allocation strategy. J. Glob. Optim. 88(3): 685-705 (2024)- [i2]Adam D. Kypriadis, Isaac E. Lagaris, Aristidis Likas, Konstantinos E. Parsopoulos:
Optimized neural forms for solving ordinary differential equations. CoRR abs/2404.19454 (2024) - 2023
- [j30]Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris:
Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Appl. Soft Comput. 142: 110331 (2023) - [j29]Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris:
SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Softw. Impacts 17: 100526 (2023) - [j28]Vasileios A. Tatsis, Konstantinos E. Parsopoulos:
Reinforcement learning for enhanced online gradient-based parameter adaptation in metaheuristics. Swarm Evol. Comput. 83: 101371 (2023) - 2021
- [p1]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems. Metaheuristics for Finding Multiple Solutions 2021: 129-144 - 2020
- [c44]Michail G. Papatsimpas, Ioannis Lykogiorgos, Konstantinos E. Parsopoulos:
FOREX Trading Model Based on Forecast Aggregation and Metaheuristic Optimization. SETN 2020: 215-223 - [c43]Vasileios A. Tatsis, Konstantinos E. Parsopoulos:
Reinforced Online Parameter Adaptation Method for Population-based Metaheuristics. SSCI 2020: 360-367
2010 – 2019
- 2019
- [j27]Vasileios A. Tatsis, Konstantinos E. Parsopoulos:
Dynamic parameter adaptation in metaheuristics using gradient approximation and line search. Appl. Soft Comput. 74: 368-384 (2019) - [j26]Dimitris Souravlias, Ilias S. Kotsireas, Panos M. Pardalos, Konstantinos E. Parsopoulos:
Parallel algorithm portfolios with performance forecasting. Optim. Methods Softw. 34(6): 1231-1250 (2019) - [e1]Ilias S. Kotsireas, Panos M. Pardalos, Konstantinos E. Parsopoulos, Dimitris Souravlias, Arsenis Tsokas:
Analysis of Experimental Algorithms - Special Event, SEA² 2019, Kalamata, Greece, June 24-29, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11544, Springer 2019, ISBN 978-3-030-34028-5 [contents] - 2018
- [j25]Vasileios A. Tatsis, Konstantinos E. Parsopoulos:
Experimental Assessment of Differential Evolution with Grid-Based Parameter Adaptation. Int. J. Artif. Intell. Tools 27(4): 1860004:1-1860004:20 (2018) - [r1]Konstantinos E. Parsopoulos:
Particle Swarm Methods. Handbook of Heuristics 2018: 639-685 - 2017
- [j24]Dimitris Souravlias, Konstantinos E. Parsopoulos, Gerasimos C. Meletiou:
Designing bijective S-boxes using Algorithm Portfolios with limited time budgets. Appl. Soft Comput. 59: 475-486 (2017) - [j23]Vasileios A. Tatsis, Konstantinos E. Parsopoulos:
Differential Evolution with Grid-Based Parameter Adaptation. Soft Comput. 21(8): 2105-2127 (2017) - 2016
- [j22]Eftychia G. Datsika, Angeliki V. Katsenou, Lisimachos P. Kondi, Evangelos Papapetrou, Konstantinos E. Parsopoulos:
Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution. Digit. Signal Process. 50: 203-217 (2016) - [j21]Dimitris Souravlias, Konstantinos E. Parsopoulos:
Particle swarm optimization with neighborhood-based budget allocation. Int. J. Mach. Learn. Cybern. 7(3): 451-477 (2016) - [j20]Dimitris Souravlias, Konstantinos E. Parsopoulos, Ilias S. Kotsireas:
Circulant weighing matrices: a demanding challenge for parallel optimization metaheuristics. Optim. Lett. 10(6): 1303-1314 (2016) - [c42]Dimitris Souravlias, Gabriel Luque, Enrique Alba, Konstantinos E. Parsopoulos:
Smart Traffic Lights: A First Parallel Computing Approach. INCoS 2016: 229-236 - [c41]Vasileios A. Tatsis, Konstantinos E. Parsopoulos:
Grid Search for Operator and Parameter Control in Differential Evolution. SETN 2016: 7:1-7:9 - [c40]Ilias S. Kotsireas, Panos M. Pardalos, Konstantinos E. Parsopoulos, Dimitris Souravlias:
On the Solution of Circulant Weighing Matrices Problems Using Algorithm Portfolios on Multi-core Processors. SEA 2016: 184-200 - 2015
- [j19]Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
A study on visual sensor network cross-layer resource allocation using quality-based criteria and metaheuristic optimization algorithms. Appl. Soft Comput. 26: 149-165 (2015) - [j18]Konstantinos E. Parsopoulos, Ioannis Konstantaras, Konstantina Skouri:
Metaheuristic optimization for the Single-Item Dynamic Lot Sizing problem with returns and remanufacturing. Comput. Ind. Eng. 83: 307-315 (2015) - [j17]Constantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis:
p-MEMPSODE: Parallel and irregular memetic global optimization. Comput. Phys. Commun. 197: 190-211 (2015) - [c39]Alexandros Fragkoulis, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Game theoretic wireless resource allocation for H.264 MGS video transmission over cognitive radio networks. Visual Information Processing and Communication 2015: 94100E - 2014
- [j16]Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos, Elizabeth S. Bentley:
Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks. Signal Process. Image Commun. 29(4): 472-493 (2014) - [j15]Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Motion-Related Resource Allocation in Dynamic Wireless Visual Sensor Network Environments. IEEE Trans. Image Process. 23(1): 56-68 (2014) - [c38]Dimitris Souravlias, Konstantinos E. Parsopoulos, Enrique Alba:
Parallel Algorithm Portfolio with Market Trading-Based Time Allocation. OR 2014: 567-574 - 2013
- [j14]Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Geometric Bargaining Approach for Optimizing Resource Allocation in Wireless Visual Sensor Networks. IEEE Trans. Circuits Syst. Video Technol. 23(8): 1388-1401 (2013) - [c37]Dimitris Souravlias, Konstantinos E. Parsopoulos:
Particle swarm optimization with budget allocation through neighborhood ranking. GECCO 2013: 105-112 - [c36]Costas Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
Adaptive memetic particle swarm optimization with variable local search pool size. GECCO 2013: 113-120 - [c35]Angeliki V. Katsenou, Eftychia G. Datsika, Lisimachos P. Kondi, Evangelos Papapetrou, Konstantinos E. Parsopoulos:
Power-aware QoS enhancement in multihop DS-CDMA Visual Sensor Networks. DSP 2013: 1-6 - [c34]Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Fairness issues in resource allocation schemes for wireless visual sensor networks. Visual Information Processing and Communication 2013: 866601 - 2012
- [j13]Konstantinos E. Parsopoulos:
Parallel cooperative micro-particle swarm optimization: A master-slave model. Appl. Soft Comput. 12(11): 3552-3579 (2012) - [j12]Grigoris S. Piperagkas, Ioannis Konstantaras, Konstantinos Skouri, Konstantinos E. Parsopoulos:
Solving the stochastic dynamic lot-sizing problem through nature-inspired heuristics. Comput. Oper. Res. 39(7): 1555-1565 (2012) - [j11]Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis:
MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. Comput. Phys. Commun. 183(5): 1139-1154 (2012) - [j10]Costas Voglis, Konstantinos E. Parsopoulos, Isaac E. Lagaris:
Particle swarm optimization with deliberate loss of information. Soft Comput. 16(8): 1373-1392 (2012) - [c33]Ilias S. Kotsireas, Konstantinos E. Parsopoulos, Grigoris S. Piperagkas, Michael N. Vrahatis:
Ant-Based Approaches for Solving Autocorrelation Problems. ANTS 2012: 220-227 - [c32]Grigoris S. Piperagkas, George K. Georgoulas, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Aristidis Likas:
Integrating particle swarm optimization with reinforcement learning in noisy problems. GECCO 2012: 65-72 - [c31]Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed. GECCO (Companion) 2012: 245-252 - [c30]Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework. GECCO (Companion) 2012: 253-260 - [c29]Eftychia G. Datsika, Angeliki V. Katsenou, Lisimachos P. Kondi, Evangelos Papapetrou, Konstantinos E. Parsopoulos:
Priority-based cross-layer optimization for multihop DS-CDMA Visual Sensor Networks. ICIP 2012: 1101-1104 - [c28]Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos, Elizabeth S. Bentley:
Quality-driven power control and resource allocation in wireless multi-rate Visual Sensor Networks. ICIP 2012: 1117-1120 - [c27]Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
On the use of clustering for resource allocation in wireless visual sensor networks. Visual Information Processing and Communication 2012: 83050S - [c26]Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Kalai-Smorodinsky bargaining solution for optimal resource allocation over wireless DS-CDMA visual sensor networks. Visual Information Processing and Communication 2012: 83050T - 2011
- [c25]Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution. ICASSP 2011: 2340-2343 - [c24]Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Resource management for wireless visual sensor networks based on individual video characteristics. ICIP 2011: 149-152 - [c23]Katerina Pandremmenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos:
Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks. Visual Information Processing and Communication 2011: 788206
2000 – 2009
- 2009
- [j9]Konstantinos E. Parsopoulos, Fotini Kariotou, George Dassios, Michael N. Vrahatis:
Tackling magnetoencephalography with particle swarm optimization. Int. J. Bio Inspired Comput. 1(1/2): 32-49 (2009) - [j8]Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Improving fuzzy cognitive maps learning through memetic particle swarm optimization. Soft Comput. 13(1): 77-94 (2009) - [c22]Konstantinos E. Parsopoulos:
Cooperative micro-particle swarm optimization. GEC Summit 2009: 467-474 - [c21]Konstantinos E. Parsopoulos:
Cooperative micro-differential evolution for high-dimensional problems. GECCO 2009: 531-538 - [c20]Vasileios L. Georgiou, Sonia Malefaki, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis:
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks. LION 2009: 30-44 - 2008
- [c19]Konstantinos E. Parsopoulos, Voula C. Georgopoulos, Michael N. Vrahatis:
A technique for the visualization of population-based algorithms. IEEE Congress on Evolutionary Computation 2008: 1694-1701 - [c18]Konstantinos E. Parsopoulos, Konstantina Skouri, Michael N. Vrahatis:
Particle Swarm Optimization for Tackling Continuous Review Inventory Models. EvoWorkshops 2008: 103-112 - [c17]A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis:
Particle filtering with particle swarm optimization in systems with multiplicative noise. GECCO 2008: 57-62 - 2007
- [j7]Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Memetic particle swarm optimization. Ann. Oper. Res. 156(1): 99-127 (2007) - [j6]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Parameter selection and adaptation in Unified Particle Swarm Optimization. Math. Comput. Model. 46(1-2): 198-213 (2007) - [c16]Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. IEEE Congress on Evolutionary Computation 2007: 2040-2047 - [c15]Yiannis G. Petalas, Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Petros P. Groumpos, Michael N. Vrahatis:
Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization. SIS 2007: 16-22 - 2006
- [j5]Vasileios L. Georgiou, Nicos G. Pavlidis, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis:
New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. Int. J. Artif. Intell. Tools 15(3): 371-396 (2006) - [c14]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem. Australian Conference on Artificial Intelligence 2006: 760-769 - 2005
- [j4]Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Petros P. Groumpos, Michael N. Vrahatis:
Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. J. Intell. Inf. Syst. 25(1): 95-121 (2005) - [c13]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Unified Particle Swarm Optimization in Dynamic Environments. EvoWorkshops 2005: 590-599 - [c12]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems. ICNC (3) 2005: 582-591 - [c11]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Unified particle swarm optimization for tackling operations research problems. SIS 2005: 53-59 - [i1]Charalampos Skokos, Konstantinos E. Parsopoulos, Panos A. Patsis, Michael N. Vrahatis:
Particle Swarm Optimization: An efficient method for tracing periodic orbits in 3D galactic potentials. CoRR abs/astro-ph/0502164 (2005) - 2004
- [j3]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
On the Computation of All Global Minimizers Through Particle Swarm Optimization. IEEE Trans. Evol. Comput. 8(3): 211-224 (2004) - [c10]Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation 2004: 204-211 - [c9]Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis:
Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. GECCO (1) 2004: 402-413 - [c8]Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis:
Fuzzy Cognitive Maps Learning through Swarm Intelligence. ICAISC 2004: 344-349 - 2003
- [j2]Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Evolutionary Operators in Global Optimization with Dynamic Search Trajectories. Numer. Algorithms 34(2-4): 393-403 (2003) - [c7]Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis:
A first study of fuzzy cognitive maps learning using particle swarm optimization. IEEE Congress on Evolutionary Computation 2003: 1440-1447 - [c6]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Investigating the existence of function roots using particle swarm optimization. IEEE Congress on Evolutionary Computation 2003: 1448-1455 - [c5]Thomas Bartz-Beielstein, Philipp Limbourg, Jörn Mehnen, Karlheinz Schmitt, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Particle swarm optimizers for Pareto optimization with enhanced archiving techniques. IEEE Congress on Evolutionary Computation 2003: 1780-1787 - [c4]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Computing periodic orbits of nondifferentiable/discontinuous mappings through particle swarm optimization. SIS 2003: 34-41 - 2002
- [j1]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Recent approaches to global optimization problems through Particle Swarm Optimization. Nat. Comput. 1(2-3): 235-306 (2002) - [c3]Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Particle swarm optimization for minimax problems. IEEE Congress on Evolutionary Computation 2002: 1576-1581 - [c2]Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Particle swarm optimization for integer programming. IEEE Congress on Evolutionary Computation 2002: 1582-1587 - [c1]Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Particle swarm optimization method in multiobjective problems. SAC 2002: 603-607
Coauthor Index
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