Applied to five engineering optimization problems, modified momentum–leader–differential grey wolf optimizer consistently achieves the lowest objective values, while analytically proving its ability to navigate heavily penalized boundaries and satisfy all constraints.
This study suggests that RLDMGO can serve as a viable and adaptive solver for complex optimization problems and achieves a competitive ranking among fourteen evaluated state-of-the-art competitors.
This study introduces a standardized framework based on a Normalized Positional Diversity Index (D*) to quantify optimizer behaviour and demonstrates that D* is a geometric generalization of existing measures, by replacing stochastic, path-dependent historical maximums with a fixed global upper bound anchored to the se...
Metaheuristics require sustained global search without sacrificing local refinement, yet many variable-structure methods change operators through one-way iteration schedules. We introduce the Weather State Ants Optimizer (WSAO), in which a discrete-time Markov chain recurrently selects one of three population updates....
Expensive optimization problems allow for only a small number of exact objective evaluations, and this is where most metaheuristics lose their value. This paper proposes SAWHALE, a surrogate-assisted and self-adaptive whale optimization framework built around two new asymmetric opposition-based learning operators. EDOF...
A multi-strategy optimized mayfly optimization algorithm (MSMOA) is proposed to improve the overall optimization performance of MOA and achieves the best overall average rank among the compared algorithms and maintained competitive performance across high-dimensional settings.
Ze Yang, Jing-Jun Wang· Scientific Reports· 0 citations
Overall, the evidence indicates that GWO is the most efficient choice for edge deployment on Raspberry Pi 5, striking a favorable balance between convergence speed, stability, and resource usage.
Ziadan Qowi, Akhdan Musyaffa Firdaus, Hari Purnama· The eurasia proceedings of s...· 0 citations
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