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An argument-dependent approach to determining OWA operator weights based on the rule of maximum entropy.

, , and . Int. J. Intell. Syst., 22 (2): 209-221 (2007)

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Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application., , , , , and . ICIC (2), volume 9226 of Lecture Notes in Computer Science, page 1-12. Springer, (2015)Offline determinations of parameter values in genetic algorithm., , , , , , , and . ICNC, page 239-244. IEEE, (2015)Interactive Genetic Algorithms Based on Estimation of User's Most Satisfactory Individuals., , and . ISDA (3), page 132-137. IEEE Computer Society, (2006)An argument-dependent approach to determining OWA operator weights based on the rule of maximum entropy., , and . Int. J. Intell. Syst., 22 (2): 209-221 (2007)An effective multiagent evolutionary algorithm integrating a novel roulette inversion operator for engineering optimization., , , , and . Appl. Math. Comput., 211 (2): 392-416 (2009)Fitness Noise in Interactive Evolutionary Computation and the Convergence Robustness., , , , and . ISDA (1), page 429-434. IEEE Computer Society, (2006)Research on Adaptive Genetic Algorithm for an Integrated VMI System Model., , and . PACIS, page 102. AISeL, (2004)Learning matrices of evolutionary operators in genetic algorithm., , , , , and . ICIA, page 2394-2399. IEEE, (2015)