An Emigration Genetic Algorithm and Its Application to Multiobjective Optimal Designs of Electromagnetic Devices
Autor: | Siu Lau Ho, Yuhuai Wang, Guangzheng Ni, Zhejie Liu, Shiyou Yang |
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Rok vydání: | 2004 |
Předmět: |
Optimal design
Vector optimization Mathematical optimization Operator (computer programming) Computer science Numerical analysis Computer Science::Neural and Evolutionary Computation Genetic algorithm Electromagnetic devices Electrical and Electronic Engineering Cluster analysis Electronic Optical and Magnetic Materials |
Zdroj: | IEEE Transactions on Magnetics. 40:1240-1243 |
ISSN: | 0018-9464 |
Popis: | 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. |
Databáze: | OpenAIRE |
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