Title :
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
fDate :
9/1/1998 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
