关键词: 鲸鱼优化算法, 正余双弦机制, 混沌算子, 元启发式算法

Abstract: For the Whale Optimization Algorithm’s falling into the partial optimization easily and slow convergence speed, a method of Whale Optimization Algorithm based on Chaotic Sine Cosine（CSCWOA） operator is proposed. By adding the intensive information mechanism to the whale searching and the chaotic sine cosine operator during whale scratching, global exploration blind spots are reduced through sine optimizing and the convergence speed is accelerated through cosine exploitation. Meanwhile the chaos operator enhances the ability to jump out of local optimum. The individual information in the population is spread quickly by double sine cross. Through simulation and experiment, it is proven that the algorithm has better convergence speed, accuracy and stability.

Key words: Whale Optimization Algorithm（WOA）, sine cosine mechanism, chaotic operator, metaheuristic