Chain Restaurant Work Scheduling Based on Genetic Algorithm with Fuzzy Logic
2006 ◽
Vol 10
(1)
◽
pp. 50-59
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Keyword(s):
A Chain
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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.
2021 ◽
Vol 15
(2)
◽
pp. 34-46
2013 ◽
Vol 274
◽
pp. 345-349
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Keyword(s):
2019 ◽
Vol 11
(11)
◽
pp. 168781401989019
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2014 ◽
Vol 556-562
◽
pp. 3514-3518
2019 ◽
Vol 8
(4)
◽
pp. 39-59
2011 ◽
Vol 1
◽
pp. 226-229
◽
2013 ◽
Vol 11
(10)
◽
pp. 3043-3050
2016 ◽
Vol 3
(2)
◽
pp. 149-158
◽
Keyword(s):