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On an Optimization Method Based on Z-Numbers and the Multi-Objective Evolutionary Algorithm
College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing, P. R. China
* Corresponding Author: Dong Qiu,
Intelligent Automation & Soft Computing 2018, 24(1), 147-150. https://doi.org/10.1080/10798587.2017.1327153
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In this paper, we research the optimization problems with multiple Z-number valued objectives. First, we convert Z-numbers to classical fuzzy numbers to simplify the calculation. A new dominance relationship of two fuzzy numbers based on the lower limit of the possibility degree is proposed. Then according to this dominance relationship, we present a multi-objective evolutionary algorithm to solve the optimization problems. Finally, a simple example is used to demonstrate the validity of the suggested algorithm.Keywords
Z-number; Multi-objective optimization; Multi-objective evolutionary algorithm
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APA Style
Qiu, D., Dong, R., Chen, S., Li, A. (2018). On an Optimization Method Based on Z-Numbers and the Multi-Objective Evolutionary Algorithm. Intelligent Automation & Soft Computing, 24(1), 147–150. https://doi.org/10.1080/10798587.2017.1327153
Vancouver Style
Qiu D, Dong R, Chen S, Li A. On an Optimization Method Based on Z-Numbers and the Multi-Objective Evolutionary Algorithm. Intell Automat Soft Comput. 2018;24(1):147–150. https://doi.org/10.1080/10798587.2017.1327153
IEEE Style
D. Qiu, R. Dong, S. Chen, and A. Li, “On an Optimization Method Based on Z-Numbers and the Multi-Objective Evolutionary Algorithm,” Intell. Automat. Soft Comput., vol. 24, no. 1, pp. 147–150, 2018. https://doi.org/10.1080/10798587.2017.1327153
Copyright © 2018 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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