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This document presents two improved versions of the Tunicate Swarm Algorithm (TSA) for global optimization, named OCSTA and COCSTA, which incorporate chaos theory and opposition-based learning techniques. The proposed algorithms were tested on 30 benchmark optimization problems and demonstrated superior performance compared to classical TSA and other optimization algorithms. Statistical analysis confirmed that the new algorithms effectively enhance the exploration and exploitation capabilities in solving co

Author

Shiva

Language

EN