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  • 2003

  • Kort, Skander (2003) : Schemata-Driven Multi-objective Optimization In: Fonseca, Carlos M. da; Fleming, Peter J.; Zitzler, Eckart; Thiele, Lothar; Deb, Kalyanmoy (Hg.): Evolutionary Multi-Criterion Optimization: Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003. Proceedings: Berlin; Heidelberg: Springer (Lecture Notes in Computer Science), S. 192-206

    Abstract: This paper investigates the exploitation of non-dominated sets’ schemata in guiding multi-objective optimization. Schemata capture the similarities between solutions in the non-dominated set. They also reflect the knowledge acquired by multi-objective evolutionary algorithms. A schemata-driven genetic algorithm as well as a schemata-driven local search algorithm are described. An experimental study to evaluate the suggested approach is then conducted.

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