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Comparison of cooperative, multiobjective cooperative and classical evolutionary algorithms for global supply chain optimisation.

, , , and . GECCO (Companion), page 121-122. ACM, (2011)

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Implicit memory-based technique in solving dynamic scheduling problems through Response Surface Methodology - Part II: Experiments and analysis., and . Int. J. Intell. Comput. Cybern., 7 (2): 143-174 (2014)Genetic Algorithms + Data Structures = Evolution Programs.. Artificial intelligence Springer, (1992)Sets and Uncertainty in Relational Databases., and . IPMU, volume 313 of Lecture Notes in Computer Science, page 127-137. Springer, (1988)Evolutionary Algorithms., and . Encyclopedia of Information Systems, Academic Press, (2002)An Experimental Comparison of Binary and Floating Point Representations in Genetic Algorithms., and . ICGA, page 31-36. Morgan Kaufmann, (1991)A hybrid evolutionary modeling algorithm for system of ordinary differential equations., , , and . Neural Parallel & Scientific Comp., 6 (2): 171-188 (1998)Teaching evolutionary algorithms., and . CEC, page 1702-1706. IEEE, (1999)Optimising supply chain networks by means of a hybridised simulation-based approach., , , , and . IEEE Congress on Evolutionary Computation, page 1-6. IEEE, (2010)Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Optimal Distribution of Restricted Ranges in Secure Statistical Database., , and . SSDBM, volume 420 of Lecture Notes in Computer Science, page 65-79. Springer, (1990)