A Hybrid PSO-DE Intelligent Algorithm for Solving Constrained Optimization Problems Based on Feasibility Rules

A Hybrid PSO-DE Intelligent Algorithm for Solving Constrained Optimization Problems Based on Feasibility Rules

In this paper, we study swarm intelligence computation for constrained optimization problems and propose a new hybrid PSO-DE algorithm based on feasibility rules. Establishing individual feasibility rules as a way to determine whether the position of an individual satisfies the constraint or violate...

Full description

Bibliographic Details
Main Authors: Eryang Guo, Yuelin Gao, Chenyang Hu, Jiaojiao Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
constraint optimizations
particle swarm optimization
differential evolution
feasibility rules
engineering optimization problems
Online Access:https://www.mdpi.com/2227-7390/11/3/522

Internet

https://www.mdpi.com/2227-7390/11/3/522

Similar Items