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Incorporation of user preference into multi-objective genetic fuzzy rule selection for pattern classification problems.

, and . Artif. Life Robotics, 14 (3): 418-421 (2009)

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Use of biased neighborhood structures in multiobjective memetic algorithms., , , and . Soft Comput., 13 (8-9): 795-810 (2009)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)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)Multi-objective evolutionary design of fuzzy rule-based systems., and . SMC (3), page 2362-2367. IEEE, (2004)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)Analysis of evolutionary multi-tasking as an island model., , , and . GECCO (Companion), page 1894-1897. ACM, (2018)