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Keyword: opposition-based learning ×Clear all

3 claims from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   Modified crayfish optimization algorithm with adaptive spiral elite greedy opposition-based learning and search-hide strategy for global optimization

   Li, Zhang, Tsai, Lu, Yang and Yao · Journal of Computational Design and Engineering · 2024

   Unchecked3 claims
   Show 3 claims

   1. Unchecked“Experimental results show that the MCOA achieved the minor Friedman test value in 23 test functions, CEC2014 and CEC2020, and achieved average superiority rates of 80.97%, 72.59%, and 71.11% in the WT, respectively.”
   2. Unchecked“Moreover, MCOA achieved 80% and 100% superiority rate against COA on CEC2020 and the fixed-dimension function of 23 benchmark test functions.”
   3. Unchecked“Finally, MCOA owns better convergence and population diversity.”