A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model

[Display omitted] ► A novel combination of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is introduced. ► Selection of these operators in each iteration for each particle or chromosome is based on a fuzzy probability. ► The performance of the proposed hybrid algorithm for solving both...

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Vydáno v:	Applied soft computing Ročník 13; číslo 5; s. 2577 - 2591
Hlavní autoři:	Mahmoodabadi, M.J., Safaie, A. Adljooy, Bagheri, A., Nariman-zadeh, N.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.05.2013
Témata:	Genetic Algorithm Hybrid algorithms Multi-objective problems Particle Swarm Optimization Single-objective problems Vehicle vibration model Hybrid algorithms Multi-objective problems Vehicle vibration model Single-objective problems Particle Swarm Optimization Genetic Algorithm
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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