Radka Polakova

Proceedings of the 23rd Conference Information Technologies, 2023

Ehnanced Grey Wolf Optimizer.

[BibT_eX]

[DOI]

Daniel Valenta

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

jSO and GWO Algorithms Optimise Together.

[BibT_eX]

[DOI]

Daniel Valenta

Proceedings of the 22nd Conference Information Technologies, 2022

2019

Differential evolution with adaptive mechanism of population size according to current population diversity.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2019

Comparison of nature-inspired population-based algorithms on continuous optimisation problems.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2019

2018

Adaptation of Population Size in Differential Evolution Algorithm: An Experimental Comparison.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018

Migration Model of jSO Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018

2017

Adaptation of population size according to current population diversity in differential evolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Adaptive differential evolution vs. nature-inspired algorithms: An experimental comparison.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Controlling Population Size in Differential Evolution by Diversity Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2017

A simple framework for constrained problems with application of L-SHADE44 and IDE.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

L-SHADE with competing strategies applied to constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

L-SHADE with competing strategies applied to CEC2015 learning-based test suite.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evaluating the performance of L-SHADE with competing strategies on CEC2014 single parameter-operator test suite.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evaluating the performance of SHADE with competing strategies on CEC 2014 single-parameter test suite.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Cooperation of Evolutionary Algorithms: A Comparison of Several Hierarchical Models.

[BibT_eX]

[DOI]

Proceedings of the Mendel 2015, 2015

Cooperation of optimization algorithms: A simple hierarchical model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Controlled restart in differential evolution applied to CEC2014 benchmark functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Differential evolution with rotation-invariant mutation and competing-strategies adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Adaptive Variants of Differential Evolution: Towards Control-Parameter-Free Optimizers.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Optimization - From Classical to Modern Approach, 2013

Competitive differential evolution applied to CEC 2013 problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Competitive Differential Evolution Algorithm in Comparison with Other Adaptive Variants.

[BibT_eX]

[DOI]

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

A Comparison of Two Adaptation Approaches in Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the Swarm and Evolutionary Computation, 2012

2011

Various mutation strategies in enhanced competitive differential evolution for constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

2010

Enhanced Competitive Differential Evolution for Constrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Multiconference on Computer Science and Information Technology, 2010

Competitive differential evolution for constrained problems.

[BibT_eX]

[DOI]