Improved Particle Swarm Optimization Algorithms for Optimal Designs with Various Decision Criteria

Particle swarm optimization (PSO) is an attractive, easily implemented method which is successfully used across a wide range of applications. In this paper, utilizing the core ideology of genetic algorithm and dynamic parameters, an improved particle swarm optimization algorithm is proposed. Then, b...

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Bibliographic Details
Main Authors: Chang Li, Daniel C. Coster
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/13/2310