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Solving Bilevel Multicriterion Optimization Problems With Lower Level Decision Uncertainty.

, , , , and . IEEE Trans. Evol. Comput., 20 (2): 199-217 (2016)

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What Makes a Problem Hard for a Classifier System?, , and . IlliGAL Report No 92007. Department of General Engineering, 117 Transportation Building, 104 South Mathews Avenue, Urbana, IL 61801-2996, (1992)Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization., and . Soft Comput., 20 (6): 2367-2382 (2016)Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey., , and . Expert Syst. Appl., (2017)Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results., , , and . EMO, volume 10173 of Lecture Notes in Computer Science, page 160-175. Springer, (2017)An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering., , , , and . Appl. Soft Comput., (2014)A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-Objective Evolutionary Procedure., , and . Analysis of Biological Data: A Soft Computing Approach, volume 3 of Science, Engineering, and Biology Informatics, World Scientific, (2007)Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement., , and . J. Systems and IT, 20 (4): 489-512 (2018)Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization., , , , and . SSCI, page 1929-1936. IEEE, (2018)High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III., , , , and . GECCO, page 1263-1270. ACM, (2014)Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)