Optimization Design Algorithm Based on Artificial Immune System for Mechanical Systems

Author

Liu, Tao ; Cao, Fengwen ; Zhou, Yan

Author_Institution

Suzhou Vocational Univ., Suzhou, China

Volume

1

fYear

2009

fDate

22-24 May 2009

Firstpage

612

Lastpage

615

Abstract

In order to solve the nonlinear constraint problem, a new and feasible optimization algorithm, i.e. the distance concentration artificial immune algorithm (DCAIA), was presented and applied to structural optimization design. The distance concentration and the affinity, between antibody and antigen, and between antibody and antibody, were defined. The proposed algorithm was applied in the optimization design for the mechanical systems. The example shows it is better for an axis design than that of the gene algorithm (GA) and the classical artificial immune algorithm (CAIA).

Keywords

artificial immune systems; genetic algorithms; mechanical engineering; artificial immune system; classical artificial immune algorithm; distance concentration artificial immune algorithm; feasible optimization algorithm; gene algorithm; mechanical systems; nonlinear constraint problem; optimization design algorithm; structural optimization design; Algorithm design and analysis; Application software; Artificial immune systems; Biology computing; Constraint optimization; Design optimization; Electronic commerce; Immune system; Mechanical systems; Security; algorithm; artificial immune system; mechanical systems; optimization design;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3643-9

Type

conf

DOI

10.1109/ISECS.2009.214

Filename

5209823