Constrained Mixed-Variable Design Optimization Based on Particle Swarm Optimizer with a Diversity Classifier for Cyclically Neighboring Subpopulations

Constrained Mixed-Variable Design Optimization Based on Particle Swarm Optimizer with a Diversity Classifier for Cyclically Neighboring Subpopulations

In this research, an easy-to-use particle swarm optimizer (PSO) for solving constrained engineering design problems involving mixed-integer-discrete-continuous (MIDC) variables that adopt two kinds of diversity-enhancing mechanisms to achieve superior reliability and validity was developed. As an in...

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Hlavní autoři: Tae-Hyoung Kim, Minhaeng Cho, Sangwoo Shin
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2020-11-01
Edice:Mathematics
Témata:
particle swarm optimization
constrained optimization
evolutionary algorithm
global optimization
mixed-integer-discrete-continuous optimization
On-line přístup:https://www.mdpi.com/2227-7390/8/11/2016

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https://www.mdpi.com/2227-7390/8/11/2016

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