Self-Adapting Particle Swarm Optimization for continuous black box optimization-Reference-Cited by-同舟云学术

Self-Adapting Particle Swarm Optimization for continuous black box optimization

Published:2022-12 Issue: Volume:131 Page:109722
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Okulewicz Michał^ORCID,Zaborski Mateusz^ORCID,Mańdziuk Jacek^ORCID

Publisher

Elsevier BV

Subject

Software

Reference52 articles.

1. Analysis of the Behavior of a Class of Genetic Adaptive Systems;De Jong,1975

2. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications To Biology, Control, and Artificial Intelligence;Holland,1992

3. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces;Storn;J. Global Optim.,1997

4. Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES);Hansen;Evol. Comput.,2003

5. JADE, an adaptive differential evolution algorithm, benchmarked on the BBOB noiseless testbed;Poaík,2012

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