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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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Cellular Genetic Local Search for Multi-Objective Optimization., , and . GECCO, page 307-314. Morgan Kaufmann, (2000)Hybrid Evolutionary Multi-Objective Optimization Algorithms., and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 163-172. IOS Press, (2002)Neighborhood structures for genetic local search algorithms., , and . KES (2), page 259-263. IEEE, (1998)Appropriate granularity specification for fuzzy classifier design by data complexity measures., , and . NaBIC, page 691-696. IEEE, (2010)A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW., , , and . ICORES, page 25-35. SciTePress, (2016)Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms., and . GECCO, page 399-406. Morgan Kaufmann, (2002)Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms., , and . GECCO, page 1301-1308. Morgan Kaufmann, (2002)An analysis of control parameters of MOEA/D under two different optimization scenarios., and . Appl. Soft Comput., (2018)Multi-Objective Genetic Local Search Algorithm., and . International Conference on Evolutionary Computation, page 119-124. IEEE, (1996)A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions., , , and . CEC, page 2058-2065. IEEE, (2019)