期刊文献+

基于模拟退火-蚁群算法的机器人路径规划 被引量:4

下载PDF
导出
摘要 针对蚁群算法在机器人路径规划中易陷入局部最优问题,提出首先利用蚁群算法寻找移动路径,然后采用模拟退火算法进行迭代,并加入回火机制消除局部最优,有效提高蚁群算法的全局搜索能力。仿真研究表明,模拟退火-蚁群算法在机器人路径搜索上可得到较短路径。
出处 《科技风》 2018年第20期21-21,共1页
基金 中国石油大学胜利学院大学生创新创业训练计划项目资助(2017026)
  • 相关文献

参考文献4

二级参考文献39

  • 1Qian X,Wang B.A modified adaptive track fusion approach in the Proceedings of the Fifth International Conference on Information Fusion.2002:1535-1541.
  • 2Glasius R, Komoda A, Gielen S. A biologically inspired neural net for trajectory formation and obstacle avoidance[J]. Biological Cybernetics, 1996, 74(6): 511-520.
  • 3XUE Ying-hua, TIAN Guo-hui, HUANG Bin. Optimal robot path planning based on danger degree map[C]//Proceedings of 2009 IEEE International Conference on Automation and Logistics. Shenyang: IEEE, 2009: 1040-1045.
  • 4Huang G, Tung C, Ciou J. To achieve the path planning of mobile robot for a correct destination and direction using fuzzy theory[C]//Proceedings of 2009 IEEE International Symposium on Industrial Electronics. Seoul: IEEE, 2009: 1737-1742.
  • 5ZHANG Xiao-yong, WU Min, PENG Jun, et al. A rescue robot path planning based on ant colony optimization algorithm[C]//Proceedings of the 2009 IEEE International Conference on Information Technology and Computer Science. Kiev: IEEE, 2009: 180-183.
  • 6Ghorbani A, Shiry S, Nodehi A. Using genetic algorithm for a mobile robot path planning[C]//Proceedings of the 2009 International Conference on Future Computer and Communication. Kuala Lumpur: IEEE, 2009: 164-166.
  • 7Mansouri M, Shoorehdeli M A, Teshnehlab M. Integer GA for mobile robot path planning with using another GA as repairing function[C]//Proceedings of the IEEE International Conference on Automation and Logistics. Qingdao: IEEE, 2008: 135-140.
  • 8LIAO Wei-qiang. Genetic algorithm based robot path planning[C]//Proceedings of 2008 International Conference on Intelligent Computation Technology and Automation. Changsha: IEEE, 2008: 56-59.
  • 9LEI Lin, WANG Hou-jun, WU Qin-song. Improved genetic algorithms based path planning of mobile robot under dynamic unknown environment[C]//Proceedings of the 2006 1EEE International Conference on Mechatronics and Automation. Luoyang: IEEE, 2006: 1728-1732.
  • 10LI Qing, Zhang W, Yin Y, et al. An improved genetic algorithm of optimum path planning for mobile robots[C]//Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications. Jinan: IEEE, 2006:637-642.

共引文献118

同被引文献37

引证文献4

二级引证文献59

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部