Use of genetic algorithms to solve production and operations management problems: A review
Operations managers and scholars in their search for fast and good solutions to real-world problems have applied genetic algorithms to many problems. While genetic algorithms are promising tools for problem solving, future research will benefit from a review of the problems that have been solved and...
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| Published in: | International journal of production research Vol. 41; no. 17; pp. 3955 - 4009 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Taylor & Francis Group
20-11-2003
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| Online Access: | Get full text |
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| Summary: | Operations managers and scholars in their search for fast and good solutions to real-world problems have applied genetic algorithms to many problems. While genetic algorithms are promising tools for problem solving, future research will benefit from a review of the problems that have been solved and the designs of the genetic algorithms used to solve them. This paper provides a review of the use of genetic algorithms to solve operations problems. Reviewed papers are classified according to the problems they solve. The basic design of each genetic algorithm is described, the shortcomings of the current research are discussed and directions for future research are suggested. |
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 0020-7543 1366-588X |
| DOI: | 10.1080/00207540310001626319 |