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A rank-based ant system algorithm for solving 0/1 knapsack problem

Chen, Shi, Gao, Chao, Li, Xianghua, Lu, Yitong and Zhang, Zili 2015, A rank-based ant system algorithm for solving 0/1 knapsack problem, Journal of computational information systems, vol. 11, no. 20, pp. 7423-7430, doi: 10.12733/jcis15663.

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Title A rank-based ant system algorithm for solving 0/1 knapsack problem
Author(s) Chen, Shi
Gao, Chao
Li, Xianghua
Lu, Yitong
Zhang, Zili
Journal name Journal of computational information systems
Volume number 11
Issue number 20
Start page 7423
End page 7430
Total pages 8
Publisher Binary Information Press
Place of publication [Danbury, Conn.]
Publication date 2015
ISSN 1553-9105
Keyword(s) 0/1 knapsack problem
AS
Ranking
Summary The 0/1 Knapsack Problem (KP), which is a classical NP-complete problem, has been widely applied to solving many real world problems. Ant system (AS), as one of the earliest ant colony optimization (ACO) algorithms, provides approximate solutions to 0/1 KPs. However, there are some shortcomings such as low efficiency and premature convergence in most AS algorithms. In order to overcome the shortcomings of AS, this paper proposes a rank-based AS algorithm, denoted as RAS to solve 0/1 KP. Taking advantages of the ranked ants with a higher profit, the pheromone of items will be updated with better solutions in RAS. Experimental results in different datasets show that this new kind of AS algorithm can obtain a higher efficiency and robustness when solving 0/1 KP.
Language eng
DOI 10.12733/jcis15663
Field of Research 080503 Networking and Communications
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Binary Information Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082154

Document type: Journal Article
Collection: School of Information Technology
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