A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing

[Display omitted] ► A new optimization method (HRABC) based on artificial bee colony algorithm and Taguchi is developed. ► The HRABC is applied to the design and manufacturing optimization problems. ► The HRABC gives an effective way to find global optimum solutions for real-world optimization probl...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Applied soft computing Ročník 13; číslo 5; s. 2906 - 2912
Hlavný autor: Yildiz, Ali R.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.05.2013
Predmet:
Artificial bee colony
Hybrid approach
Manufacturing
Milling
Structural optimization
Hybrid approach
Artificial bee colony
Manufacturing
Structural optimization
Milling
ISSN:1568-4946, 1872-9681
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:[Display omitted] ► A new optimization method (HRABC) based on artificial bee colony algorithm and Taguchi is developed. ► The HRABC is applied to the design and manufacturing optimization problems. ► The HRABC gives an effective way to find global optimum solutions for real-world optimization problems. The purpose of this paper is to develop a novel hybrid optimization method (HRABC) based on artificial bee colony algorithm and Taguchi method. The proposed approach is applied to a structural design optimization of a vehicle component and a multi-tool milling optimization problem. A comparison of state-of-the-art optimization techniques for the design and manufacturing optimization problems is presented. The results have demonstrated the superiority of the HRABC over the other techniques like differential evolution algorithm, harmony search algorithm, particle swarm optimization algorithm, artificial immune algorithm, ant colony algorithm, hybrid robust genetic algorithm, scatter search algorithm, genetic algorithm in terms of convergence speed and efficiency by measuring the number of function evaluations required.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2012.04.013