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New pheromone trail updating method of ACO for satellite control resource scheduling problem

  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

An ant colony optimization approach for the satellite control resource scheduling problem is presented. Based on the observation that the solution space of the problem is sparse, two pheromone updating methods, i.e., the reinitialize-guidance-updating and current-guidance-updating methods, are proposed to avoid the trapping in local optima. The basic idea of these two methods is to change the distribution of pheromone trails by updating them with a guidance solution once the algorithm stagnates. We compare the proposed algorithm with several other heuristics. The experimental results demonstrate that our approach is competitive in terms of exploration capability of reaching the near-global optimal solution and adaptability to the future situations.

源语言英语
主期刊名2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
DOI
出版状态已出版 - 2010
活动2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 - Barcelona, 西班牙
期限: 18 7月 201023 7月 2010

出版系列

姓名2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

会议

会议2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
国家/地区西班牙
Barcelona
时期18/07/1023/07/10

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