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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 ...
The performance of HOA is better compared to other algorithms in the optimization process. The optimized fitness value is minimal, and the function converges after five iterations and completes the optimization in a single time step when run in MATLAB in only 1.96 s. Compared to conventional non...
The performance of HOA is better compared to other algorithms in the optimization process. The optimized fitness value is minimal, and the function converges after five iterations and completes the optimization in a single time step when run in MATLAB in only 1.96 s. Compared to conventional non...