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Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization.

, , , and . GECCO, page 829-836. ACM, (2007)

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Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions., , , and . GECCO, page 527-534. ACM, (2010)Simultaneous use of different scalarizing functions in MOEA/D., , , and . GECCO, page 519-526. ACM, (2010)Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations., , , and . SMC, page 1758-1763. IEEE, (2009)Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization., , , and . Soft Comput., 15 (9): 1749-1767 (2011)Behavior of Evolutionary Many-Objective Optimization., , and . UKSim, page 266-271. IEEE Computer Society, (2008)Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study., , and . GECCO, page 1111-1112. ACM, (2008)Evolutionary many-objective optimization., , and . GEFS, page 47-52. IEEE, (2008)Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms., , and . SMC, page 1946-1951. IEEE, (2007)Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space., , , and . PPSN (2), volume 6239 of Lecture Notes in Computer Science, page 91-100. Springer, (2010)Iterative approach to indicator-based multiobjective optimization., , and . IEEE Congress on Evolutionary Computation, page 3967-3974. IEEE, (2007)