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Numerous optimization algorithms have been introduced; however, introducing and developing a new, highly innovative algorithm are still deemed necessary, as per the No Free Lunch (NFL) theorem7. The NFL theorem asserts that the superior performance of a metaheuristic algorithm in solving specific optim...
For example, the hybrid particle swarm optimization algorithm with differential evolution (DEPSO [18]) combines the population intelligence of the particle swarm optimization algorithm and the variability capability of differential evolution, which enables DEPSO to efficiently balance global and local ...
algorithm MHO, as well as other nature-inspired algorithms, are programmed and implemented in an experimental environment on Windows 10, all on a computer configured with 12th Gen Intel (R) Core (TM) i5-12600KF 3.70 GHz processor, 16 Gb RAM, and using the programming language MATLAB 2019b....