Design and Implementation on Cultural Algorithm in Unit Commitment Optimization

被引：0
|
作者：
Zhou, Mu-Xun [1 ]
Wang, Zheng-Chu [2 ]
Luo, Yun-Xia [3 ]
Wang, Wan-Liang [4 ]
机构：
[1] Taizhou Univ, Sch Phys & Elect Engn, Taizhou, Zhejiang, Peoples R China
[2] Taizhou Univ, Sch Mech Engn, Taizhou, Zhejiang, Peoples R China
[3] Zhejiang Coll Water Conservancy & Hydropower, Dept Elect Engn, Hangzhou, Zhejiang, Peoples R China
[4] Zhejiang Univ Technol, Sch Comp Sci & Software, Hangzhou, Zhejiang, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
Cultural Algorithm; Unit Commitment Optimization; Population Space; Culture Space; Acceptance Function; Influence Function;
D O I：
10.1109/WCICA.2010.5553894
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper develops research of feasibility and validity of Culture Algorithm (CA) in unit commitment optimization. The mathematic model of the optimization problem is established. Realization method of CA is presented, including design of population space and culture space, design of acceptance function and influence function, and design of evolution strategies for two spaces. Solving steps of CA is realized, and Optimization calculation program based on MATLAB language is compiled. The results of example shows that CA, s perfect advantage is faster speed and better convergence performance, which is viable and efficient for unit commitment optimization.
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收藏
页码：3320 / 3324
页数：5
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