Application of chaos simulated annealing in function optimization

被引：0
|
作者：
Xiu, Chun-Bo [1 ]
Tang, Yun-Yu [1 ]
Liu, Xiang-Dong [1 ]
Zhang, Yu-He [1 ]
机构：
[1] Dept. of Automat. Control, Sch. of Info. Sci. and Technol., Beijing Inst. of Technol., Beijing 100081, China
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2004年 / 24卷 / 10期
关键词：
Chaos theory - Computer simulation - Optimization - Probability - Simulated annealing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The performance of Hopfield neural networks was improved through the addition of chaos noise. During the process of optimization, chaos simulated annealing was realized by decaying the amplitude of the chaos noise and the probability of accepting continuously. Adjusting the probability of acceptance could control the speed of chaos simulated annealing, and influence the rate of convergence. The process of optimization was divided into two phases: the coarse search based on chaos and the elaborate search based on gradients. Utilizing the randomicity and ergodicity property of the chaos, the network can get around the global optimal points, and obtain the solutions of optimization. Simulation results proved the validity of the algorithm.
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页码：874 / 876
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