Konstantinos E. Parsopoulos

Orcid: 0000-0002-0599-4353

According to our database1, Konstantinos E. Parsopoulos authored at least 78 papers between 2002 and 2024.

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Bibliography

2024
Parallel algorithm portfolios with adaptive resource allocation strategy.
J. Glob. Optim., March, 2024

2023
Reinforcement learning for enhanced online gradient-based parameter adaptation in metaheuristics.
Swarm Evol. Comput., December, 2023

SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning.
Softw. Impacts, September, 2023

Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning.
Appl. Soft Comput., 2023

2021
Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

2020
Reinforced Online Parameter Adaptation Method for Population-based Metaheuristics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

FOREX Trading Model Based on Forecast Aggregation and Metaheuristic Optimization.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

2019
Parallel algorithm portfolios with performance forecasting.
Optim. Methods Softw., 2019

Dynamic parameter adaptation in metaheuristics using gradient approximation and line search.
Appl. Soft Comput., 2019

2018
Particle Swarm Methods.
Proceedings of the Handbook of Heuristics., 2018

Experimental Assessment of Differential Evolution with Grid-Based Parameter Adaptation.
Int. J. Artif. Intell. Tools, 2018

2017
Differential Evolution with Grid-Based Parameter Adaptation.
Soft Comput., 2017

Designing bijective S-boxes using Algorithm Portfolios with limited time budgets.
Appl. Soft Comput., 2017

2016
Circulant weighing matrices: a demanding challenge for parallel optimization metaheuristics.
Optim. Lett., 2016

Particle swarm optimization with neighborhood-based budget allocation.
Int. J. Mach. Learn. Cybern., 2016

Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution.
Digit. Signal Process., 2016

On the Solution of Circulant Weighing Matrices Problems Using Algorithm Portfolios on Multi-core Processors.
Proceedings of the Experimental Algorithms - 15th International Symposium, 2016

Grid Search for Operator and Parameter Control in Differential Evolution.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Smart Traffic Lights: A First Parallel Computing Approach.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

2015
p-MEMPSODE: Parallel and irregular memetic global optimization.
Comput. Phys. Commun., 2015

Metaheuristic optimization for the Single-Item Dynamic Lot Sizing problem with returns and remanufacturing.
Comput. Ind. Eng., 2015

A study on visual sensor network cross-layer resource allocation using quality-based criteria and metaheuristic optimization algorithms.
Appl. Soft Comput., 2015

Game theoretic wireless resource allocation for H.264 MGS video transmission over cognitive radio networks.
Proceedings of the Visual Information Processing and Communication VI, 2015

2014
Motion-Related Resource Allocation in Dynamic Wireless Visual Sensor Network Environments.
IEEE Trans. Image Process., 2014

Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks.
Signal Process. Image Commun., 2014

Parallel Algorithm Portfolio with Market Trading-Based Time Allocation.
Proceedings of the Operations Research Proceedings 2014, 2014

2013
Geometric Bargaining Approach for Optimizing Resource Allocation in Wireless Visual Sensor Networks.
IEEE Trans. Circuits Syst. Video Technol., 2013

Fairness issues in resource allocation schemes for wireless visual sensor networks.
Proceedings of the Visual Information Processing and Communication IV, 2013

Power-aware QoS enhancement in multihop DS-CDMA Visual Sensor Networks.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Adaptive memetic particle swarm optimization with variable local search pool size.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Particle swarm optimization with budget allocation through neighborhood ranking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Particle swarm optimization with deliberate loss of information.
Soft Comput., 2012

MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches.
Comput. Phys. Commun., 2012

Solving the stochastic dynamic lot-sizing problem through nature-inspired heuristics.
Comput. Oper. Res., 2012

Parallel cooperative micro-particle swarm optimization: A master-slave model.
Appl. Soft Comput., 2012

Kalai-Smorodinsky bargaining solution for optimal resource allocation over wireless DS-CDMA visual sensor networks.
Proceedings of the Visual Information Processing and Communication III, 2012

On the use of clustering for resource allocation in wireless visual sensor networks.
Proceedings of the Visual Information Processing and Communication III, 2012

Quality-driven power control and resource allocation in wireless multi-rate Visual Sensor Networks.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Priority-based cross-layer optimization for multihop DS-CDMA Visual Sensor Networks.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Integrating particle swarm optimization with reinforcement learning in noisy problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Ant-Based Approaches for Solving Autocorrelation Problems.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011
Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks.
Proceedings of the Visual Information Processing and Communication II, 2011

Resource management for wireless visual sensor networks based on individual video characteristics.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution.
Proceedings of the IEEE International Conference on Acoustics, 2011

2009
Improving fuzzy cognitive maps learning through memetic particle swarm optimization.
Soft Comput., 2009

Tackling magnetoencephalography with particle swarm optimization.
Int. J. Bio Inspired Comput., 2009

Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Cooperative micro-differential evolution for high-dimensional problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Cooperative micro-particle swarm optimization.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
Particle filtering with particle swarm optimization in systems with multiplicative noise.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Particle Swarm Optimization for Tackling Continuous Review Inventory Models.
Proceedings of the Applications of Evolutionary Computing, 2008

A technique for the visualization of population-based algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Parameter selection and adaptation in Unified Particle Swarm Optimization.
Math. Comput. Model., 2007

Memetic particle swarm optimization.
Ann. Oper. Res., 2007

Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks.
Int. J. Artif. Intell. Tools, 2006

Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization.
J. Intell. Inf. Syst., 2005

Particle Swarm Optimization: An efficient method for tracing periodic orbits in 3D galactic potentials
CoRR, 2005

Unified particle swarm optimization for tackling operations research problems.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Unified Particle Swarm Optimization in Dynamic Environments.
Proceedings of the Applications of Evolutionary Computing, 2005

2004
On the Computation of All Global Minimizers Through Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2004

Fuzzy Cognitive Maps Learning through Swarm Intelligence.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems.
Proceedings of the Genetic and Evolutionary Computation, 2004

Vector evaluated differential evolution for multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Evolutionary Operators in Global Optimization with Dynamic Search Trajectories.
Numer. Algorithms, 2003

Computing periodic orbits of nondifferentiable/discontinuous mappings through particle swarm optimization.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

Investigating the existence of function roots using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

A first study of fuzzy cognitive maps learning using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Particle swarm optimizers for Pareto optimization with enhanced archiving techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Recent approaches to global optimization problems through Particle Swarm Optimization.
Nat. Comput., 2002

Particle swarm optimization method in multiobjective problems.
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002

Particle swarm optimization for integer programming.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Particle swarm optimization for minimax problems.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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