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作者:

Wei, Hongkai (Wei, Hongkai.) | Ji, Junzhong (Ji, Junzhong.) (学者:冀俊忠) | Qin, Yufang (Qin, Yufang.) | Wang, Yamin (Wang, Yamin.) | Liu, Chunnian (Liu, Chunnian.)

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摘要:

In this paper, we propose a novel artificial bee colony(ABC) algorithm for the multidimensional knapsack problems, which introduces the attraction pheromone and presents a transition strategy based on the attraction pheromone. In our algorithm, the scout generates a food source according to the transition strategy and replaces the abandoned food source by comparison with the corresponding elite food source, while the employed bee and onlooker modify the repair operator using the transition strategy in the determination of the neighborhood of a food source. Experimental results show that our approach performs better in the quality of solutions, the convergence speed and the time performance than traditional ABC algorithm.

关键词:

Artificial bee colony algorithm attraction pheromone multidimensional knapsack problems transition strategy

作者机构:

  • [ 1 ] [Wei, Hongkai]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100124, Peoples R China
  • [ 2 ] [Ji, Junzhong]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100124, Peoples R China
  • [ 3 ] [Qin, Yufang]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Chunnian]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Yamin]Liaocheng Univ, Coll Comp Sci, Liaocheng 252059, Peoples R China

通讯作者信息:

  • [Wei, Hongkai]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100124, Peoples R China

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来源 :

ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT II

ISSN: 0302-9743

年份: 2011

卷: 7003

页码: 1-,

语种: 英文

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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