An Improved Whale Algorithm and Its Application in Truss Optimization

作     者：Fengguo Jiang Lutong Wang Lili Bai Fengguo Jiang;Lutong Wang;Lili Bai

作者机构：School of Architecture and Civil EngineeringHeilongjiang University of Science and TechnologyHarbin 150022China College of Aerospace and Civil EngineeringHarbin Engineering UniversityHarbin 150001China 

出 版 物：《Journal of Bionic Engineering》 (仿生工程学报（英文版）)

年 卷 期：2021年第18卷第3期

页      面：721-732页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the National Natural Science Foundation of China(Grant No.11872157 and 11532013) the graduate innovative research project of Heilongjiang University of Science and Technology(Grant No.YJSCX2020-214HKD) 

主　　题：improve whale optimization algorithm differential evolutionary algorithm cloud theory simulating optimization bionic algorithm 

摘      要：The current Whale Optimization Algorithm(WOA)has several drawbacks,such as slow convergence,low solution accuracy and easy to fall into the local optimal *** overcome these drawbacks,an improved Whale Optimization Algorithm(IWOA)is proposed in this *** can enhance the global search capability by two ***,the crossover and mutation operations in Differential Evolutionary algorithm(DE)are combined with the whale optimization ***,the cloud adaptive inertia weight is introduced in the position update phase of WOA to divide the population into two subgroups,so as to balance the global search ability and local development *** and Matlab are used to establish the structure *** demonstrate the application of the IWOA,truss structural optimizations on 52-bar plane truss and 25-bar space truss were performed,and the results were are compared with that obtained by other optimization *** is verified that,compared with WOA,the IWOA has higher efficiency,fast convergence speed,better solution accuracy and *** IWOA can be used in the optimization design of large truss structures.