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  • 标题:Ant-Set: A Subset-Oriented Ant Colony Optimization Algorithm for the Set Covering Problem
  • 本地全文:下载
  • 作者:Murilo Falleiros Lemos Schmitt ; Mauro Henrique Mulati ; Ademir Aparecido Constantino
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2020
  • 卷号:26
  • 期号:2
  • 页码:293-316
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:This paper proposes an algorithm for the set covering problem based on the metaheuristic Ant Colony Optimization (ACO) called Ant-Set, which uses a lineoriented approach and a novelty pheromone manipulation based on the connections between components of the construction graph, while also applying a local search. The algorithm is compared with other ACO-based approaches. The results obtained show the effectiveness of the algorithm and the impact of the pheromone manipulation.
  • 关键词:ant colony optimization; ant-set; line-orientation; pheromone manipulation; set covering problem
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