Interactive Multiobjective Evolutionary Algorithms
作者： Andrzej Jaszkiewicz , Jürgen Branke
DOI: 10.1007/978-3-540-88908-3_7
关键词:
摘要: This chapter describes various approaches to the use of evolutionary algorithms and other metaheuristics in interactive multiobjective optimization. We distinguish traditional approach analysis with single objective metaheuristics, semi-a posteriori selection from a set solutions generated by metaheuristic, specialized which DM's preferences are interactively expressed during run method. analyze properties each give examples literature.
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