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2 claims from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   Cuckoo catfish optimizer: a new meta-heuristic optimization algorithm

   Wang, Gu, Liu, Chen, Wang and Zeng · Artificial Intelligence Review · 2025

   The paper proposes the Cuckoo Catfish Optimizer, a nature-inspired search algorithm, and tests it on benchmark functions and on mechanical, photovoltaic and path-planning problems.

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   1. UncheckedIn the authors' tests, the Cuckoo Catfish Optimizer reached the best solution on 91.52% of test functions against 21 other algorithms.“The experimental results show that compared with 11 famous algorithms and 10 novel improved algorithms, CCO can obtain the optimal solution in 91.52% of the test functions, demonstrating its excellent ability in solving various numerical optimization problems.”
   2. UncheckedThe Cuckoo Catfish Optimizer was applied to six mechanical design, three solar cell parameter and one path problem, and the authors report it competes well.“Additionally, through the successful application to 6 mechanical optimization problems, 3 photovoltaic cell parameter optimization problems, and 1 path opti- mization problem, the competitiveness of CCO in solving real-world problems is verified and highlighted.”