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Related Articles from SNS
Proven Advantage of Multiobjective Evolutionary Algorithms for Problems with Different Degrees of Conflict
arXiv:2408.04207v3 Announce Type: replace Abstract: The field of multiobjective evolutionary algorithms (MOEAs) often emphasizes its popularity for optimization problems with conflicting objectives. However, it is still theoretically unknown how MOEAs perform compared with typical approaches outside this field. This paper conducts such a systematic theoretical comparison on problem classes with different degrees of conflict.