Sine cosine algorithm with communication and quality enhancement: Performance design for engineering problems

Abstract In recent years, the Sine Cosine Algorithm (SCA) has become one of popular swarm intelligence algorithms due to its simple and convenient structure. However, standard SCA tends fall into local optimum when solving complex multimodal tasks, leading unsatisfactory results. Therefore, this study presents with communication quality enhancement, called CCEQSCA. The proposed algorithm includes two enhancement strategies: collaboration strategy (CC) (EQ). algorithm, CC strengthens connection populations by guiding search agents closer range optimal solutions. EQ improves candidate solutions enhance exploitation algorithm. Furthermore, can explore potential in other scopes, thus strengthening ability prevent trapping optimum. To verify capability CCEQSCA, 30 functions from IEEE CEC2017 are analyzed. is compared 5 advanced original 10 variants. outcomes indicate that it dominant over comparison global optimization tasks. work paper also utilized tackle three typical engineering design problems excellent capabilities. It been experimentally demonstrated CCEQSCA works as an effective tool real issues constraints space.