This study presents the Hybrid COASaDE Optimizer, a novel combination of the Crayfish Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to address complex optimization challenges and solve engineering design problems. The hybrid approach leverages COA’s efficient explo...
This algorithm has been applied to global optimization and engineering design problems, and its effectiveness and competitiveness have been verified. Furthermore, Fang Zhu et al. [16] found that the Dung Beetle optimization algorithm (DBO) was prone to falling into local optima in the late ...