Paper Title:
Ant Colony Optimization Algorithm for the 0-1 Knapsack Problem Based on Genetic Operators
  Abstract

0-1 knapsack problem is a typical combinatorial optimization question in the design and analysis of algorithms. The mathematical description of the knapsack problem is given in theory. The 0-1 knapsack problem is solved by ant colony optimistic algorithm that is improved by introducing genetic operators. To solve the 0-1 knapsack problem with the improved ant colony algorithm, experimental results of numerical simulations, compared with greedy algorithm and dynamic programming algorithm, have shown obvious advantages in efficiency and accuracy on the knapsack problem.

  Info
Periodical
Advanced Materials Research (Volumes 230-232)
Edited by
Ran Chen and Wenli Yao
Pages
973-977
DOI
10.4028/www.scientific.net/AMR.230-232.973
Citation
Z. J. Hu, R. Li, "Ant Colony Optimization Algorithm for the 0-1 Knapsack Problem Based on Genetic Operators", Advanced Materials Research, Vols. 230-232, pp. 973-977, 2011
Online since
May 2011
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