Multi-objective optimisation with stochastic algorithms and fuzzy definition of objective function

被引：8
|
作者：
Chiampi, M
Fuerntratt, G
Magele, C
Ragusa, C
Repetto, M
机构：
[1] Politecn Torino, Dipartimento Ingn Elettr Ind, Turin, Italy
[2] Graz Tech Univ, IGTE, A-8010 Graz, Austria
来源：
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 1998年 / 9卷 / 04期
关键词：
D O I：
10.3233/JAEM-1998-097
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The use of a decision making scheme based on fuzzy logic applied to the design of electromagnetic devices is presented. In the Multi-Objective Optimisation, the different scalar objectives are merged together firstly by means of a fuzzyfication process and then by the application of a fuzzy logical operator. This scheme can be easily coupled to any search optimisation (zeroth order algorithm) since it does not require differentiation of the scalar functions. Two different implementations of the procedure, coupled to Simulated Annealing and to Genetic Algorithm stochastic search are presented. The two procedures are tested versus a two solenoids SMES (Superconducting Magnetic Energy Storage) Multi-Objective Optimisation problem.
引用
收藏
页码：381 / 389
页数：9
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