The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
PSO Based Temperature Model Optimization
Author(s): 
Pages: 68-71
Year: Issue:  1
Journal: JOURNAL OF NANCHANG UNIVERSITY(ENGINEERING & TECHNOLOGY)

Keyword:  粒子群算法温度模型优化;
Abstract: 粒子群算法是一种新出现的进化算法,相对其它进化算法,它收敛速度快、规则简单、编程易于实现.现实的优化问题一般要求在指定的范围内求解,即要满足域约束.而目前在粒子群的约束优化问题上面研究较少.本文对粒子群算法的种群初始化进行了改进,在指定范围内进行初始化;并且提出了一种解决域约束问题的方法.该方法在优化温度模型的应用中取得了比较好的效果.
Related Articles
No related articles found