In this paper, a novel modified whale optimization algorithm based on Tent chaos map and tournament selection strategy (MWOA) was presented. The aim of the improved algorithm is to reduce the possibility of the standard whale algorithm falling into local optimal. During the initialization of the population, in order to increase population diversity and randomness, MWOA cites the Tent chaos map. In the optimization process, in order to improve the development ability of the standard algorithm, the tournament selection strategy was employed to improve the algorithm accuracy. Numerical simulation and example calculation results show that the improved algorithm is superior to the standard WOA algorithm. The improved method provides a new method for truss structure optimization.

提出了一种基于帐篷混沌映射和锦标赛选择策略（MWOA）的改进的鲸鱼优化算法。改进算法的目的是减少标准鲸鱼算法陷入局部最优的可能性。在种群初始化期间，为了增加种群的多样性和随机性，MWOA引用了Tent混沌图。在优化过程中，为了提高标准算法的开发能力，采用了比赛选择策略来提高算法的准确性。数值仿真和实例计算结果表明，改进算法优于标准WOA算法。改进的方法为桁架结构优化提供了一种新方法。