Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.20965/jaciii.2006.p0050 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
work scheduling, genetic algorithm, fuzzy logic | Work scheduling,Fuzzy set operations,Computer science,Fuzzy logic,Artificial intelligence,Machine learning,Genetic algorithm | Journal |
Volume | Issue | ISSN |
10 | 1 | 1343-0130 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Makoto Watanabe | 1 | 0 | 0.34 |
| Hajime Nobuhara | 2 | 192 | 34.02 |
| Kazuhiko Kawamoto | 3 | 80 | 16.57 |
| Fangyan Dong | 4 | 453 | 54.77 |
| Kaoru Hirota | 5 | 1634 | 195.49 |