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Robust Multiobjective Optimization via Evolutionary Algorithms

上传者: 2021-04-22 10:05:55上传 PDF文件 1013.62KB 热度 32次
Abstract—Uncertainty inadvertently exists in most real-world applications. In the optimization process, uncertainty poses a very important issue and it directly affects the optimization performance. Nowadays, evolutionary algorithms (EAs) have been successfully applied to various multiobjective optimization problems (MOPs). However, current researches on EAs rarely consider uncertainty in the optimization process and existing algorithms often fail to handle the uncertainty, which have limited EA
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