Pareto rank learning in multi-objective evolutionary algorithms
In this paper, the interest is on cases where assessing the goodness of a solution for the problem is costly or hazardous to construct or extremely computationally intensive to compute. We label such category of problems as “expensive” in the present study. In the context of multi-objective evolutio...
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Main Authors: | , , , |
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格式: | Conference or Workshop Item |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/97348 http://hdl.handle.net/10220/12018 |
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機構: | Nanyang Technological University |
語言: | English |