Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems

This paper presents an improved particle swarm optimizer (PSO) for solving multimodal optimization problems with problem-specific constraints and mixed variables. The standard PSO is extended by employing a comprehensive learning strategy, different particle updating approaches, and a feasibility-ba...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Lei Gao, Atekelty Hailu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2010-12-01
Schriftenreihe:	International Journal of Computational Intelligence Systems
Schlagworte:	Particle swarm optimization mixed variables feasibility-based rules constrained optimization evolutionary algorithms comprehensive learning strategy
Online-Zugang:	https://www.atlantis-press.com/article/2103.pdf
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