Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Genetic Algorithms Using Pareto Partitioning Method for Multiobjective Optimization Problem
Takanori TAGAMITohru KAWABE
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1998 Volume 11 Issue 11 Pages 600-607

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Abstract

In this paper, a genetic algorithm using a Pareto partitioning method to multiobjective optimization problems is proposed. The purpose of the proposed method is to generate a set of non-dominated solutions that is properly distributed in the neighborhood of the trade-off surface. The genetic search using the proposed method uniformly controls the convergence of non-dominated solutions in the objective space. Simulation results show that the GA using the Pareto partitioning method has good performances better than the traditional GA approaches for several 2-objective function optimization problems and 2-objective flow-shop scheduling problems.

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