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Application of an immune algorithm to multi‐optimization problems
Author(s) -
Mori Kazuyuki,
Tsukiyama Makoto,
Fukuda Toyoo
Publication year - 1998
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/(sici)1520-6416(19980130)122:2<30::aid-eej4>3.0.co;2-x
Subject(s) - optimization algorithm , computer science , algorithm , mathematical optimization , mathematics
An immune system has powerful abilities such as memory, recognition, and learning to respond to invading antigens. The concept is expected to be applicable to many engineering applications. This paper proposes an optimization algorithm that imitates the immune system in order to solve multi‐optimization problems partly by using a genetic algorithm. Through illustrative examples of multimodal functions such as the Shubert function, the proposed algorithm is shown to be effective in searching for a set of global solutions. © 1998 Scripta Technica. Electr Eng Jpn, 122(2): 30–37, 1998