An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems

The particle swarm optimization (PSO) is a population-based stochastic optimization technique by the social behavior of bird flocking and fish schooling. The PSO has a high convergence rate. It is prone to losing diversity along the iterative optimization process and may get trapped into a poor loca...

Full description

Saved in:

Bibliographic Details
Published in:	Engineering with computers Vol. 38; no. Suppl 4; pp. 2797 - 2831
Main Authors:	Zaman, Hamid Reza Rafat, Gharehchopogh, Farhad Soleimanian
Format:	Journal Article
Language:	English
Published:	London Springer London 01.10.2022 Springer Nature B.V
Subjects:	Algorithms Benchmarks CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Convergence Heuristic methods Math. Applications in Chemistry Mathematical and Computational Engineering Mutation Optimization algorithms Optimization techniques Original Article Particle swarm optimization Systems Theory Hybridization Solving continuous optimization problems Particle swarm optimization Backtracking search optimization algorithm
ISSN:	0177-0667, 1435-5663
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!