NDLI: A meta-heuristic satisfying tradeoff method for solving multiobjective combinatorial optimization problems-with application to flowshop scheduling

Content Provider	IEEE Xplore Digital Library
Author	Tamura, I. Shibata, T. Tomiyama, S. Hatono, I.
Copyright Year	1999
Description	Author affiliation: Dept. of Syst. & Human Sci., Osaka Univ., Japan (Tamura, I.)
Abstract	In this paper an effective meta-heuristic approach is proposed to realize a satisfying tradeoff method for solving multiobjective combinatorial optimization problems. Firstly, Pareto optimal solutions (individuals) are generated by using a genetic algorithm with the family elitist concept for a multiobjective combinatorial optimization problem. Then, we try to find a preferred solution of the decision maker based on the satisfying tradeoff method. In this paper a new meta-heuristic satisfying tradeoff method is proposed in which we do not need to solve a complex min-max problem in each iteration, but we try to find a min-max solution in the Pareto optimal solutions (individuals) generated by the genetic algorithm. We further revise the min-max solution by using a local search approach such as a simulated annealing method. As a numerical example a flowshop scheduling problem is included to verify the effectiveness of the method proposed in this paper.
Starting Page	539
Ending Page	544
File Size	395664
Page Count	6
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.823269
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Scheduling Genetic algorithms Pareto optimization Simulated annealing Humans Production management Performance evaluation
Content Type	Text
Resource Type	Article

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