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

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.