Optimum Design of Double-layer Barrel Vaults by Lion Pride Optimization Algorithm and a Comparative Study

被引：15

作者：

Kaveh, A. ^{[1
]}

Mahjoubi, S. ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Ctr Excellence Fundamental Studies Struct Engn, POB 16846-13114, Tehran, Iran

来源：

STRUCTURES | 2018年 / 13卷

关键词：

Lion Pride Optimization Algorithm; Barrel vaults; Size-optimization; Optimal design; Constrained problems; Meta-heuristic search; COLLIDING BODIES OPTIMIZATION; TRUSS STRUCTURES; SEARCH;

D O I：

10.1016/j.istruc.2018.01.002

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this article, the newly developed optimization method, so-called the Lion Pride Optimization Algorithm (LPOA), is applied to optimal design of double-layer space barrel vaults. In order to demonstrate the performance of the LPOA, three large-scale benchmark optimization design problems of double-layer barrel vaults are optimized and the results are compared with those of some metaheuristics from literature. The second aim of this article is to solve these examples using three other robust metaheuristic algorithms, namely Artificial Bee Colony (ABC), Cuckoo Search (CS), and Particle Swarm Optimization (PSO). A comparative study of these algorithms shows the suitability of the LPOA for solving real-world practical spatial truss structures.

引用

页码：213 / 229

页数：17