Meta-level multi-objective formulations of set optimization for multi-objective optimization problems
書誌事項
- タイトル別名
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- multi-reference point approach to hypervolume maximization
説明
Hypervolume has been frequently used as an indicator to evaluate a solution set in indicator-based evolutionary algorithms (IBEAs). One important issue in such an IBEA is the choice of a reference point. A different solution set is often obtained from a different reference point since the hypervolume calculation depends on the location of the reference point. In this paper, we propose an idea of utilizing this dependency to formulate a meta-level multi-objective set optimization problem. Hypervolume maximization for a different reference point is used as a different objective.
収録刊行物
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- Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
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Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation 2014-07-12
ACM