Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems
We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users. Combining human evaluation with an optimization system for engineering design enables us to embed domainspecific knowledge that is frequently hard...
| Main Authors: | , , , |
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| 格式: | Journal article |
| 出版: |
2006
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