Chain Restaurant Work Scheduling Based on Genetic Algorithm with Fuzzy Logic
Makoto Watanabe, Hajime Nobuhara, Kazuhiko Kawamoto,
Fangyan Dong, and Kaoru Hirota
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan
A quasi-optimization algorithm to generate chain restaurant work scheduling (WS) is proposed based on a genetic algorithm with fuzzy logic, where the whole weekly chain restaurant WS problem is fuzzily decomposed into 7 daily WS problems and a combined weekly WS problem. The proposed algorithm expresses the requirements of individual members by membership functions in fuzzy logic and finds a near-optimal solution using the genetic algorithm. Experimental results verified that a 24-hour 7-day schedule for 15 workers at a chain restaurant is produced in 6 minutes using the proposed algorithm implemented with C++ and executed on a PC. A professional expert evaluated WS quality as satisfactory.
Fangyan Dong, and Kaoru Hirota, “Chain Restaurant Work Scheduling Based on Genetic Algorithm with Fuzzy Logic,” J. Adv. Comput. Intell. Intell. Inform., Vol.10, No.1, pp. 50-59, 2006.
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