Modified Whale Optimization Algorithm Based on Tent Chaotic Mapping and Its Application in Structural Optimization

被引：126

作者：

Li, Yancang ^{[1
]}

Han, Muxuan ^{[1
]}

Guo, Qnglin ^{[1
]}

机构：

[1] Hebei Univ Engn, Coll Civil Engn, Handan 056038, Peoples R China

来源：

KSCE JOURNAL OF CIVIL ENGINEERING | 2020年 / 24卷 / 12期

关键词：

Whale optimization algorithm; Tent chaotic mapping; Selection strategy; Standard function; 0-1 Knapsack Problem; Combinatorial optimization;

D O I：

10.1007/s12205-020-0504-5

中图分类号：

TU [建筑科学];

学科分类号：

081407 [建筑环境与能源工程];

摘要：

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.

引用

页码：3703 / 3713

页数：11

共 36 条

[1]

A hyper-heuristic for improving the initial population of whale optimization algorithm [J].