Uniform Experimental Design of Constrained Region Based on Evolutionary Algorithm

Authors

Jianing Wei, 1. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing Electro-mechanical Engineering Institute, Beijing 100074, China;;
Hao Hao, 2. School of Computer Science and Technology, East China Normal University, Shanghai 200063, China;
Qutong Chang, 1. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing Electro-mechanical Engineering Institute, Beijing 100074, China;;
Lin Tao, 1. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing Electro-mechanical Engineering Institute, Beijing 100074, China;;
Zhang Hu, 1. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing Electro-mechanical Engineering Institute, Beijing 100074, China;;

Abstract

Abstract: The parameters of a simulation system are usually generated by the experimental design. Aiming at high design difficulty and computational cost of the uniform experimental design, of the constraint region, a two-stage differential evolutionary algorithm is further improved. The design is modeled as a constrained optimization problem. A strategy combining distribution estimation algorithm (EDA) and differential evolution (DE) is adopted. A point-deletion method is proposed to reduce the time complexity of optimizing the population uniformity. To demonstrate the advantages, the test instances and engineering applications are used in experimental analysis. The experimental results show that the performance, stability, and computational complexity of the proposed algorithm are better than those of the original algorithm.

Recommended Citation

Wei, Jianing; Hao, Hao; Chang, Qutong; Tao, Lin; and Hu, Zhang (2021) "Uniform Experimental Design of Constrained Region Based on Evolutionary Algorithm," Journal of System Simulation: Vol. 33: Iss. 7, Article 10.
DOI: 10.16182/j.issn1004731x.joss.20-0189
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss7/10

First Page

1591

Revised Date

2020-07-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0189

Last Page

1599

CLC

N945.13;TP391

Recommended Citation

Wei Jianing, Hao Hao, Chang Qutong, Lin Tao, Zhang Hu. Uniform Experimental Design of Constrained Region Based on Evolutionary Algorithm[J]. Journal of System Simulation, 2021, 33(7): 1591-1599.

Corresponding Author

Zhang Hu,

DOI

10.16182/j.issn1004731x.joss.20-0189