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Algorithm structure optimization by choosing operators in multiobjective genetic local search.

, , , , and . CEC, page 854-861. IEEE, (2015)

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Neighborhood structures for genetic local search algorithms., , and . KES (2), page 259-263. IEEE, (1998)Evolutionary Multi-objective Rule Selection for Classification Rule Mining., , and . Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, volume 98 of Studies in Computational Intelligence, Springer, (2008)A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction., , , and . Computational Intelligence for Modelling and Prediction, volume 2 of Studies in Computational Intelligence, Springer, (2005)Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies., , and . IEEE Congress on Evolutionary Computation, page 3586-3593. IEEE, (2008)Evolutionary many-objective optimization: A short review., , and . IEEE Congress on Evolutionary Computation, page 2419-2426. IEEE, (2008)Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems., , , and . GECCO, page 649-656. ACM, (2008)Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization., , , and . GECCO, page 829-836. ACM, (2007)Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization., , and . GECCO (Companion), page 89-90. ACM, (2014)Hybrid Evolutionary Multi-Objective Optimization Algorithms., and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 163-172. IOS Press, (2002)Cellular Genetic Local Search for Multi-Objective Optimization., , and . GECCO, page 307-314. Morgan Kaufmann, (2000)