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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Engineering with computers Ročník 38; číslo Suppl 4; s. 2797 - 2831
Hlavní autoři:	Zaman, Hamid Reza Rafat, Gharehchopogh, Farhad Soleimanian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.10.2022 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!