Satisfying optimization method based on goal programming for fuzzy multiple objective optimization problem |
| |
Authors: | Shaoyuan Li Chaofang Hu |
| |
Affiliation: | 1. Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China;2. Shanghai Marine Equipment Research Institute (SMERI), 10 Hengshan Road, Shanghai 200031, China |
| |
Abstract: | This paper proposes a satisfying optimization method based on goal programming for fuzzy multiple objective optimization problem. The aim of this presented approach is to make the more important objective achieving the higher desirable satisfying degree. For different fuzzy relations and fuzzy importance, the reformulated optimization models based on goal programming is proposed. Not only the satisfying results of all the objectives can be acquired, but also the fuzzy importance requirement can be simultaneously actualized. The balance between optimization and relative importance is realized. We demonstrate the efficiency, flexibility and sensitivity of the proposed method by numerical examples. |
| |
Keywords: | Goal programming Multiple objective optimization Relative importance Satisfying optimization |
本文献已被 ScienceDirect 等数据库收录! |
|