A COMPARISON OF METHODS FOR SELECTING PREFERRED SOLUTIONS IN MULTIOBJECTIVE DECISION MAKING
作者： Enrico Zio , Roberta Bazzo
DOI: 10.2991/978-94-91216-77-0_2
关键词:
摘要: In multiobjective optimization problems, the identified Pareto Frontiers and Sets often contain too many solutions, which make it difficult for decision maker to select a preferred alternative. To facilitate selection task, making support tools can be used in different instances of search introduce preferences on objectives or give condensed representation solutions Frontier, so as offer manageable picture solution alternatives. This paper presents comparison some priori posteriori methods, aimed at aiding solutions. The considered methods are compared with respect their application case study concerning test intervals components safety system nuclear power plant. engine is based genetic algorithms.
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