Improvement in Extension of Ant Colony Optimization and Its Appliance

摘要：

Extension of Ant Colony Optimization (ACOR) had proposed by Dorigo in 2008, which could well solve optimization problems in continuous space. This paper combined Genetic Algorithm with ACOR to overcome ACORs disadvantages of slow convergence speed and great probability of converging to local optimum, as is proved by simulation analysis in neural network weights optimizing.

关键词： Genetic Algorithm Extensionof Ant Colony Optimization Parameter Optimizing Neural Network

作者: Ji-yun Bai Shi-yong Li

作者单位: Department of Control Science and Engineering Harbin Institute of Technology College of Science Nort Department of Control Science and Engineering Harbin Institute of Technology Harbin, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 557-560

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）