Disassembly sequence planning approach using an advanced immune algorithm

Author

Liu, Ya-chao ; Lu, Cong ; Wang, Fu-liang

Author_Institution

Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2010

fDate

17-19 Dec. 2010

Firstpage

14

Lastpage

17

Abstract

In this paper, a disassembly sequence planning approach using an advanced immune algorithm is proposed. Firstly, an advanced support matrix is constructed to represent the stability of a product, by which the method to derive the stability of parts in the product is given, and this stability is considered as one of the evaluation objectives in disassembly sequence planning. Secondly, because the partheno genetic algorithm has good ability to avoid premature convergence, an advanced immune algorithm integrated with the partheno genetic algorithm (AIA) is developed to solve the disassembly sequence planning problem. Finally, a case study is given to verify the proposed approach.

Keywords

assembly planning; genetic algorithms; matrix algebra; Partheno genetic algorithm; advanced immune algorithm; advanced support matrix; disassembly sequence planning approach; Assembly; Biochemistry; Connectors; Immune system; Interference; Planning; Vaccines; Disassembly sequence planning; immune algorithm; stability; support matrix;

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8025-8

Type

conf

DOI

10.1109/ICACIA.2010.5709840

Filename

5709840