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On an Optimization Method Based on Z-Numbers and the Multi-Objective Evolutionary Algorithm

Dong Qiu, Rongwen Dong, Shuqiao Chen, Andi Li

College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing, P. R. China

* Corresponding Author: Dong Qiu, email

Intelligent Automation & Soft Computing 2018, 24(1), 147-150. https://doi.org/10.1080/10798587.2017.1327153

Abstract

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.

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Cite This Article

D. Qiu, R. Dong, S. Chen and A. Li, "On an optimization method based on z-numbers and the multi-objective evolutionary algorithm," Intelligent Automation & Soft Computing, vol. 24, no.1, pp. 147–150, 2018. https://doi.org/10.1080/10798587.2017.1327153



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