Efficient parallel genetic algorithms: theory and practice
Parallel genetic algorithms (GAs) are complex programs that are controlled by many parameters, which affect their search quality and their efficiency. The goal of this paper is to provide guidelines to choose those parameters rationally. The investigation centers on the sizing of populations, becaus...
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| Published in: | Computer methods in applied mechanics and engineering Vol. 186; no. 2; pp. 221 - 238 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.01.2000
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| ISSN: | 0045-7825, 1879-2138 |
| Online Access: | Get full text |
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