A study on comparison of optimization performances between immune algorithm and other heuristic algorithms

Author

Chun, Jang-Sung ; Jung, Hyun-Kyo ; Hahn, Song-Yop

Author_Institution

Sch. of Electr. Eng., Seoul Nat. Univ., South Korea

Volume

34

Issue

5

fYear

1998

fDate

9/1/1998 12:00:00 AM

Firstpage

2972

Lastpage

2975

Abstract

Usefulness of heuristic algorithms as the search method for diverse optimization problems is examined. Immune algorithm (IA), genetic algorithm (GA) and evolution strategy (ES) are used to search the optimal value for some numerical functions. Then those results are compared each other. It is shown that IA is more useful for most of problems. Especially the structure and characteristic of immune algorithm (IA) are inspected in detail. Finally a surface permanent magnet synchronous motor (SPMSM) is designed by using the algorithms

Keywords

genetic algorithms; machine theory; optimisation; permanent magnet motors; synchronous motors; evolution strategy; genetic algorithm; heuristic algorithm; immune algorithm; numerical function; optimization; search method; surface permanent magnet synchronous motor design; Algorithm design and analysis; Design optimization; Genetic algorithms; Heuristic algorithms; Immune system; Microorganisms; Optimization methods; Performance evaluation; Search methods; Testing;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.717694

Filename

717694