Solving the Optimization of Projection Pursuit Model Using Improved Ant Colony Algorithm

被引：3
|
作者：
Chen, Guang-Zhou [1 ,2 ]
Wang, Jia-Quan [1 ]
Li, Chuan-Jun [3 ]
机构：
[1] Hefei Univ Technol, Sch Resources & Environm Engn, Hefei 230009, Anhui, Peoples R China
[2] Anhui Inst Architect & Ind, Dept Environm Engn, Hefei 230022, Anhui, Peoples R China
[3] Anhui Inst Architect & Ind, Dept Engn Management, Hefei 230022, Anhui, Peoples R China
来源：
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 7, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICNC.2008.582
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Projection pursuit was a reducing dimensions treatment method. It was widely used to make the transition from high dimensional problem to one dimensional problem by projection direction. It was usually difficult to search the best projection direction, however it could be solved by an optimization question. Aimed at the prematurity and stagnancy shortages of basic ant colony, some improved countermeasures were Put forward. Simulative result indicated that it was applicable and effective to solve the above optimization question based on improved ant colony algorithm.
引用
收藏
页码：521 / +
页数：2
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