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Adaptive and Self-adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments.

, и . Foundations of Computational Intelligence (4), том 204 из Studies in Computational Intelligence, Springer, (2009)

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Zbigniew Jerzak

Zbigniew Kaniewski

Zbigniew Niedzielski

Zbigniew Slaczka

Zbigniew Cichowicz

 

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An Experimental Comparison of Binary and Floating Point Representations in Genetic Algorithms., и . ICGA, стр. 31-36. Morgan Kaufmann, (1991)Sphere Operators and Their Applicability for Constrained Parameter Optimization Problems., и . Evolutionary Programming, том 1447 из Lecture Notes in Computer Science, стр. 241-250. Springer, (1998)Generation of Classification Rules., и . ISMIS, том 542 из Lecture Notes in Computer Science, стр. 389-398. Springer, (1991)Preliminary Study on Solving Coal Processing and Blending Problems Using Lexicographic Ordering., , и . Australasian Conference on Artificial Intelligence, том 10400 из Lecture Notes in Computer Science, стр. 221-233. Springer, (2017)Parameter Adaptation for GP Forecasting Applications., и . Parameter Setting in Evolutionary Algorithms, том 54 из Studies in Computational Intelligence, Springer, (2007)Evolutionary Algorithms., и . Encyclopedia of Information Systems, Academic Press, (2002)Implicit memory-based technique in solving dynamic scheduling problems through Response Surface Methodology - Part II: Experiments and analysis., и . Int. J. Intell. Comput. Cybern., 7 (2): 143-174 (2014)Sets and Uncertainty in Relational Databases., и . IPMU, том 313 из Lecture Notes in Computer Science, стр. 127-137. Springer, (1988)Genetic Algorithms + Data Structures = Evolution Programs.. Artificial intelligence Springer, (1992)Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation., , , , и . IEEE Congress on Evolutionary Computation, стр. 1-8. IEEE, (2010)