Multi-Strategy Fusion of Sine Cosine and Arithmetic Hybrid Optimization Algorithm

The goal was to address the problems of slow convergence speed, low solution accuracy and insufficient performance in solving complex functions search process an arithmetic optimization algorithm (AOA). A multi-strategy improved (SSCAAOA) is suggested this study. By enhancing population’s initial distribution, optimizing control parameters, integrating positive cosine with adding inertia weight coefficients a population history information sharing mechanism PSO algorithm, speed AOA are improved. This increases algorithm’s ability perform global prevents it from hitting local optimum. Simulations SSCAAOA using other algorithms used examine their efficacy on benchmark test engineering challenges. analysis experimental data reveals that, when compared comparative algorithms, presented paper has that tens orders magnitude faster for unimodal function significantly better multimodal function. Practical tests also demonstrate revised approach performs better.