Title:

A hybrid ant colony for multiresponse mixed-integer problems

Creator:

Kushwaha, Sunil ; Mukherjee, Indrajit

Subject and Keywords:

ant colony optimization(ACO) ; desirability functions ; genetic algorithm(GA) ; mixed-integer (MI) problem ; multiple response optimization(MRO)

Abstract:

In this paper, a hybrid ant colony optimization (ACO) is used to solve a multiple response optimization problem with mixed-integer (MI) search space. The work reported in this paper may be clasified into three part. The first part discusses on relevant litratures and the methodology to solve multiple response optimization problem. The second part provide details on the working principal, parameter tuning of a hybrid ACO proposed for mixed integer state space. In the hybrid ACO, genetic algorithm (GA) is used for intensification of the search strategy. Standard single response (objective) test functions are selected to verify the suitability of hybrid ACO. The third part of this research work illustrates the application of the hybrid ACO in a multiple response optimization (MRO) problem. Statistical experimentation, partial least square regression, ‘maximin’ desirability function, and hybrid ACO is used to solve the MRO problem. The results confirm the suitability of the hybid ACO for a typical MI MRO problem.

Publisher:

Publishing House of Poznan University of Technology

Place of publication:

Poznań

Object type:

artykuł

Identifier:

e-ISSN 2083-4950 ; p-ISSN 2083-4942

Language:

eng

Relation:

Wydział Inżynierii Zarządzania ; Politechnika Poznańska ; Strona czasopisma

Rights Management:

Politechnika Poznańska

Publication date:

2012

Format:

pp. 317-327

Rights:

wszystkie prawa zastrzeżone

Access rights:

dla wszystkich w zakresie dozwolonego użytku

Rights holder:

Politechnika Poznańska

Digital object format:

application/pdf