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Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification.

, , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (1): 64-75 (2017)

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Set-Based Many-Objective Optimization Guided by Preferred Regions., , , and . ICIC (3), volume 9227 of Lecture Notes in Computer Science, page 87-93. Springer, (2015)A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch., , and . Inf. Sci., (2012)Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection., , , and . Pattern Recognit., (2019)Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm., , , , and . Expert Syst. Appl., (2019)Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values., , , and . IEEE Trans. Evol. Comput., 26 (4): 616-630 (2022)Petri Net Model and Its Optimization for the Problem of Robot Rescue Path Planning., , and . ICIC (1), volume 10361 of Lecture Notes in Computer Science, page 551-563. Springer, (2017)A Multi-direction Prediction Approach for Dynamic Multi-objective Optimization., , and . ICIC (3), volume 9773 of Lecture Notes in Computer Science, page 629-636. Springer, (2016)Cooperative Co-evolutionary Algorithm for Dynamic Multi-objective Optimization Based on Environmental Variable Grouping., , , and . ICSI (1), volume 9712 of Lecture Notes in Computer Science, page 564-570. Springer, (2016)Generating Test Data for Both Paths Coverage and Faults Detection Using Genetic Algorithms., and . ICIC (2), volume 6839 of Lecture Notes in Computer Science, page 664-671. Springer, (2011)Ensemble dominance for solving interval programming problems., , , , and . CEC, page 562-569. IEEE, (2016)