An improved tunicate swarm algorithm with random opposition based learning for global optimization problems

Vanisree Chandran; Prabhujit Mohapatra

doi:10.1007/s12597-024-00828-3

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An improved tunicate swarm algorithm with random opposition based learning for global optimization problems

Vanisree Chandran Prabhujit Mohapatra

Year: 2024 Journal: OPSEARCH Vol: 62 (2)Pages: 959-984 Publisher: Springer Science+Business Media

DOI: 10.1007/s12597-024-00828-3

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Keywords:

Computer science Local optimum Premature convergence Swarm behaviour Mathematical optimization Optimization algorithm Algorithm Wilcoxon signed-rank test Evolutionary algorithm Optimization problem Particle swarm optimization Artificial intelligence Mathematics

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Metaheuristic Optimization Algorithms Research

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An improved tunicate swarm algorithm with random opposition based learning for global optimization problems

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