A fuzzy satisficing method for electric power plant coal purchase using genetic algorithms

被引：20
作者：
Shiromaru, I
Inuiguchi, M
Sakawa, M
机构：
[1] Hiroshima Univ, Fac Engn, Dept Ind & Syst Engn, Higashihiroshima 7398527, Japan
[2] Chugoku Elect Power Co Inc, Thermal Power Technol Ctr, Ube, Yamaguchi 7590291, Japan
[3] Osaka Univ, Dept Elect & Informat Sci, Suita, Osaka 5650871, Japan
来源：
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2000年 / 126卷 / 01期
关键词：
genetic algorithms; fuzzy satisficing methods; coal purchase planning;
D O I：
10.1016/S0377-2217(99)00293-3
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
in this paper, we treat coal purchase planning in a real electric power plant. Several complex constraints as well as multiple vague goals are involved in the planning problem. The conventional mixed integer programming approach is in vain because of its complexity and multiple vague goals. We apply a fuzzy satisficing method to deal with the vagueness of the goals. Utilizing a desirable property of the problem, we show the complex problem can be solved by a couple of rules and genetic algorithms. The validity of the proposed approach is verified by numerical simulations. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：218 / 230
页数：13
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