Multiobjective design optimisation: A microeconomics-inspired strategy applied to electromagnetics

被引:11
作者
Di Barba, P [1 ]
机构
[1] Univ Pavia, Dept Elect Engn, I-27100 Pavia, Italy
关键词
multiobjective optimisation; shape design; evolutionary methods; finite elements; inverse magnetostatics;
D O I
10.3233/JAE-2005-674
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
In the paper the method of gradient balance is revisited from microeconomics and proposed in electromagnetics as an alternative formulation of a design optimisation problem, characterized by two objective functions; this formulation exploits the design space directly. Accordingly, a numerical procedure to approximate a non-dominated solution was implemented; after validating the numerical procedure by means of an analytical benchmark, a field-based case study was developed.
引用
收藏
页码:101 / 117
页数:17
相关论文
共 8 条
[1]  
Coello C. A. C., 2002, EVOLUTIONARY ALGORIT
[2]  
Deb K., 2001, WIL INT S SYS OPT
[3]   A fast evolutionary method for identifying non-inferior solutions in multicriteria shape optimization of a shielded reactor [J].
Di Barba, P .
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2001, 20 (03) :762-776
[4]  
DIBARBA P, 2003, OPTIMISATION INVERSE
[5]   An Overview of Evolutionary Algorithms in Multiobjective Optimization [J].
Fonseca, Carlos M. ;
Fleming, Peter J. .
EVOLUTIONARY COMPUTATION, 1995, 3 (01) :1-16
[6]  
MANSFIELD E, 1975, MICROECONOMICS THEOR
[7]  
Miettinen K., 1999, NONLINEAR MULTI OBJE
[8]  
OSYCZKA A, 1990, MULTICRITERIA DESIGN