• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

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.)

收录:

CPCI-S EI Scopus

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

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

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

万方被引频次:

中文被引频次:

近30日浏览量: 2

在线人数/总访问数:1518/2902279
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司