An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection

Diego Oliva; Mohamed Abd Elaziz

doi:10.1007/s00500-020-04781-3

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An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection

Diego Oliva Mohamed Abd Elaziz

Year: 2020 Journal: Soft Computing Vol: 24 (18)Pages: 14051-14072 Publisher: Springer Science+Business Media

DOI: 10.1007/s00500-020-04781-3

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Keywords:

Brainstorming Mathematical optimization Computer science Cluster analysis Population Chaotic Optimization problem Metaheuristic Artificial intelligence Machine learning Algorithm Mathematics

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Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection

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Citation History

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