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A comparison of Linkage-learning-based Genetic Algorithms in Multidimensional Knapsack Problems.

, , , , and . IEEE Congress on Evolutionary Computation, page 502-509. IEEE, (2013)

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Efficiency enhancement of estimation of distribution algorithms by a compressed tournament selection., and . J. Intell. Fuzzy Syst., 26 (5): 2537-2545 (2014)On the effectiveness of genetic algorithms for the multidimensional knapsack problem., , and . GECCO (Companion), page 73-74. ACM, (2014)Analysis of linkage learning in evolutionary optimization.. University of São Paulo, Brazil, (2015)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-14092015-140718).Multimodality and the linkage-learning difficulty of additively separable functions., and . GECCO, page 365-372. ACM, (2014)Multi-Objective Evolutionary Algorithm with Node-Depth Encoding and Strength Pareto for Service Restoration in Large-Scale Distribution Systems., , , , and . EMO, volume 7811 of Lecture Notes in Computer Science, page 771-786. Springer, (2013)Handling Crossover Bias to Improve Diversity in Multiobjective Evolutionary Optimization., and . GECCO (Companion), page 1433-1434. ACM, (2015)Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems., , , and . EMO, volume 6576 of Lecture Notes in Computer Science, page 285-297. Springer, (2011)A comparison of Linkage-learning-based Genetic Algorithms in Multidimensional Knapsack Problems., , , , and . IEEE Congress on Evolutionary Computation, page 502-509. IEEE, (2013)Rainbow deep reinforcement learning for TCP congestion control., , , and . LATINCOM, page 1-6. IEEE, (2021)The influence of linkage-learning in the linkage-tree GA when solving multidimensional knapsack problems., and . GECCO, page 821-828. ACM, (2013)