Hybrid Model for Solving Multi-Objective Problems Using Evolutionary Algorithm and Tabu Search

This paper presents a new multi-objective hybrid model that makes cooperation between the strength of research of neighborhood methods presented by the tabu search (TS) and the important exploration capacity of evolutionary algorithm. This model was implemented and tested in benchmark functions (ZDT...

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Bibliographic Details
Published in:arXiv.org 2011-02
Main Authors: Hajlaoui, Rjab, Gzara, Mariem, Dammak, Abdelaziz
Format: Article
Language:English
Subjects:
Computer simulation
Evolutionary algorithms
Genetic algorithms
Multiple objective analysis
Production scheduling
Tabu search
Online Access:Get full text
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Summary:This paper presents a new multi-objective hybrid model that makes cooperation between the strength of research of neighborhood methods presented by the tabu search (TS) and the important exploration capacity of evolutionary algorithm. This model was implemented and tested in benchmark functions (ZDT1, ZDT2, and ZDT3), using a network of computers.
ISSN:2331-8422