Solving design of pressure vessel engineering problem using a fruit fly optimization algorithm

被引：0

作者：

Ke X. ^{[1
]}

Zhang Y. ^{[1
]}

Li Y. ^{[1
]}

Du T. ^{[1
,2
]}

机构：

[1] College of Science, China Three Gorges University, Yichang

[2] Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Wuhan

来源：

International Journal of Simulation: Systems, Science and Technology | 2016年 / 17卷 / 43期

基金：

中国国家自然科学基金;

关键词：

Design of pressure vessel; Fruit fly optimization algorithm; Nonlinear constraint;

D O I：

10.5013/IJSSST.a.17.43.05

中图分类号：

学科分类号：

摘要：

We investigate a fruit fly optimization algorithm (FOA) to solve constrained structural engineering design optimization problems. In our work, we compared PSO and QAFSA, and found the FOA to be more valid to search for the optimal solution of three typical functions. As an application, optimal results provided by FOA concerning design of pressure vessel optimization problem are reported, and our result demonstrates that the best solution yielded by FOA is superior to those of stateof-the-art algorithms in the literature. © 2016, UK Simulation Society. All rights reserved.

引用

页码：5.1 / 5.7

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