Title :
An emigration genetic algorithm and its application to multiobjective optimal designs of electromagnetic devices
Author :
Wang, Yuhuai ; Yang, Shiyou ; Ni, Guangzheng ; Ho, S.L. ; Liu, Z.J.
Author_Institution :
Electr. Eng. Coll., Zhejiang Univ., Hangzhou, China
fDate :
3/1/2004 12:00:00 AM
Abstract :
The emigration genetic algorithm, which is a genetic-based algorithm, is proposed to obtain the Pareto optimal solution of vector optimal designs of electromagnetic devices. The proposed algorithm differs from the traditional ones in its design of an emigration operator as well as the inclusion of some useful approaches such as the fitness sharing, clustering, and elitism strategy. Detailed numerical results on three different multiobjective design problems are reported to demonstrate the effectiveness and advantages of the proposed algorithm for solving practical engineering multiobjective optimal design problems.
Keywords :
design; electromagnetic devices; genetic algorithms; numerical analysis; optimisation; Pareto optimal solution; clustering strategy; electromagnetic devices; elitism strategy; emigration genetic algorithm; fitness sharing strategy; genetic-based algorithm; multiobjective optimal designs; numerical method; vector optimal designs; vector optimization; Algorithm design and analysis; Cities and towns; Clustering algorithms; Convergence; Design engineering; Electromagnetic devices; Evolutionary computation; Genetic algorithms; Maintenance engineering; Optimization methods;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2004.824780