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General Information
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2015 Vol.7(6): 497-501 ISSN: 1793-8236
DOI: 10.7763/IJET.2015.V7.844

A Fuzzy Genetic Algorithm for Scheduling of Handling/Storage Equipment in Automated Container Terminals

Seyed Mahdi Homayouni and Sai Hong Tang
Abstract—Integrated scheduling of handling/storage equipment in container terminals is an NP-hard problem which has been studied during past two decades consciously. Genetic algorithms (GAs) have been applied for this optimization problem in many researches. However, the GA is vulnerable to trap in a local optima (results in premature convergence). In this paper a fuzzy logic controller (FLC) is designed to improve the performance of a GA in optimization of integrated scheduling of handling/storage equipment in automated container terminals. The FLC controls crossover and mutation rates of the GA during its generations, which are the main control parameters of the GA to avoid the premature convergence. The numerical results for the small size test cases solved by using the proposed fuzzy genetic algorithm show that solutions found by this algorithm are 2.5% better than the solutions found by the GA. Studies are continuing for better performance of the proposed FGA.

Index Terms—Integrated scheduling, fuzzy logic controller, genetic algorithm, fuzzy genetic algorithm.

Seyed Mahdi Homayouni is with the Department of Industrial Engineering, Lenjan Branch, Islamic Azad University, Isfahan, Iran (e-mail: homayouni@ iauln.ac.ir).
Sai Hong Tang is with the Department of Mechanical & Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia (e-mail: saihong@upm.edu.my).

[PDF]

Cite: Seyed Mahdi Homayouni, Senior Member, IEDRC and Sai Hong Tang, "A Fuzzy Genetic Algorithm for Scheduling of Handling/Storage Equipment in Automated Container Terminals," International Journal of Engineering and Technology vol. 7, no. 6, pp. 497-501, 2015.

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