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Intelligent Tuning of a Dynamic Business Simulation Environment.

, , , and . SGAI Conf., page 355-368. Springer, (2011)

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A functional framework for the implementation of genetic algorithms: Comparing Haskell and Standard ML., , and . Scottish Functional Programming Workshop, volume 2 of Trends in Functional Programming, page 27-38. Intellect, (2000)Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm., , and . Congress on Evolutionary Computation, page 2576-2583. IEEE, (2005)Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis., , and . GECCO, page 727-734. ACM, (2005)A chain-model genetic algorithm for Bayesian network structure learning., , and . GECCO, page 1264-1271. ACM, (2007)Intelligent Tuning of a Dynamic Business Simulation Environment., , , and . SGAI Conf., page 355-368. Springer, (2011)L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning., , and . ILP, volume 5194 of Lecture Notes in Computer Science, page 176-191. Springer, (2008)Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings., , and . GECCO, page 333-340. ACM, (2014)Fitness Modeling With Markov Networks., , and . IEEE Trans. Evol. Comput., 17 (6): 862-879 (2013)A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition., , and . PPSN (2), volume 6239 of Lecture Notes in Computer Science, page 1-10. Springer, (2010)Racing Strategy for the Dynamic-Customer Location-Allocation Problem., , , , , and . CEC, page 1-8. IEEE, (2020)