Uniform Experimental Design with Constrained Region Based on Fruit Fly Algorithm

Authors

Jiawei Zhou, 1.College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China;Follow
Xin Du, 1.College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China;Follow
Youcong Ni, 1.College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China;
Hu Zhang, 2.Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing Electro-mechanical Engineering Institute, Beijing 100074, China;
Hao Zhang, 1.College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China;
Haoran Ni, 3.School of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350117, China;
Feng Wang, 4.School of Computer Science, Wuhan University, Wuhan 430072, China;

Abstract

Abstract: To solve the problems that existing two-phase differential evolutionary algorithms still have poor diversity of population distribution and weak local search ability in solving uniform designs in constrained experimental region, a new two-phase fruit fly optimization algorithm (ToPFOA) based on uniform experimental design is proposed. In the first stage, fruit fly search strategy combined with differential operator, K-means clustering and external document updating the centers of clusters is used todynamically improve distribution diversity of population in constrained region. In the second stage, a new fruit fly operator is designed to improve local search ability in constrained region. The experimental results show that ToPFOA is superior to ToPDE and ToPDEEDA in terms of solution quality and stability.

Recommended Citation

Zhou, Jiawei; Du, Xin; Ni, Youcong; Zhang, Hu; Zhang, Hao; Ni, Haoran; and Wang, Feng (2023) "Uniform Experimental Design with Constrained Region Based on Fruit Fly Algorithm," Journal of System Simulation: Vol. 35: Iss. 1, Article 9.
DOI: 10.16182/j.issn1004731x.joss.21-0673
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss1/9

First Page

110

Revised Date

2021-09-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0673

Last Page

122

CLC

TP391.9

Recommended Citation

Jiawei Zhou, Xin Du, Youcong Ni, Hu Zhang, Hao Zhang, Haoran Ni, Feng Wang. Uniform Experimental Design with Constrained Region Based on Fruit Fly Algorithm[J]. Journal of System Simulation, 2023, 35(1): 110-122.

Corresponding Author

Xin Du,xindu@fjnu.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-0673