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Michigan-style fuzzy GBML with (1+1)-ES generation update and multi-pattern rule generation.

, , , and . IFSA-SCIS, page 1-6. IEEE, (2017)

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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)A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW., , , and . ICORES, page 25-35. SciTePress, (2016)Appropriate granularity specification for fuzzy classifier design by data complexity measures., , and . NaBIC, page 691-696. IEEE, (2010)Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms., , and . GECCO, page 1301-1308. Morgan Kaufmann, (2002)Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms., and . GECCO, page 399-406. Morgan Kaufmann, (2002)Multi-Objective Genetic Local Search Algorithm., and . International Conference on Evolutionary Computation, page 119-124. IEEE, (1996)