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Multiobjective permutation flow shop scheduling using MOEA/D with local search.

, and . TAAI, page 262-269. IEEE, (2016)

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Research of Several Key Mathematical Techniques in Optimized Conflict Agents., and . Int. Trans. Syst. Sci. Appl., 1 (3): 317- (2006)A novel approach to market segmentation selection using artificial intelligence techniques., and . J. Supercomput., 79 (2): 1235-1262 (2023)Analysis on improving the application of machine learning in product development., , and . J. Supercomput., 78 (10): 12435-12460 (2022)An Application of Optimization Model to Multi-agent Conflict Resolution., , and . ISNN (2), volume 6064 of Lecture Notes in Computer Science, page 606-614. Springer, (2010)Modularity gradients: Measuring the contribution of edges to the community structure of a brain network., and . ISBI, page 536-539. IEEE, (2013)Of the largest eigenvalue for modularity-based partitioning., , and . SSP, page 125-128. IEEE, (2012)Assessing statistical significance when partitioning large-scale brain networks., , and . ISBI, page 1759-1762. IEEE, (2012)Edge mining resources allocation among normal and gap blockchains using game theory., , , , , and . J. Supercomput., 78 (7): 9934-9951 (2022)Parametric distributions for assessing significance in modular partitions of brain networks., , and . ISBI, page 612-615. IEEE, (2013)Statistically optimal graph partition method based on modularity., , , and . ISBI, page 1193-1196. IEEE, (2010)