Artificial Glowworm Swarm Optimization Algorithm for Solving 0-1 Knapsack Problem

Abstract:

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In this paper, an artificial glowworm swarm optimization algorithm for solving 0-1 knapsack problem is proposed, and the detailed realization of the algorithm is illustrated. According to intelligent algorithm for knapsack problem, the question of sensitive parameter’s choice is avoided under the greed idea. Simulation results show that the artificial glowworm swarm optimization algorithm for solving 0-1 knapsack problems is feasible and effective.

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong

Pages:

166-171

DOI:

10.4028/www.scientific.net/AMR.143-144.166

Citation:

Q. Q. Gong et al., "Artificial Glowworm Swarm Optimization Algorithm for Solving 0-1 Knapsack Problem", Advanced Materials Research, Vols. 143-144, pp. 166-171, 2011

Online since:

October 2010

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Price:

$35.00

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