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...
| Главные авторы: | , , , |
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| Другие авторы: | |
| Формат: | Conference Paper |
| Язык: | English |
| Опубликовано: |
2013
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| Предметы: | |
| Online-ссылка: | https://hdl.handle.net/10356/97348 http://hdl.handle.net/10220/12018 |