| Title: | optimization method for mixed constraints problem solving |
| Author: | Ji Xiaohui
; Huang Zhuo
|
| Source: | Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
|
| Conference Name: | 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
|
| Conference Date: | 40845
|
| Issued Date: | 2010
|
| Conference Place: | Xiamen, China
|
| Keyword: | Computer programming
; Constraint theory
; Integer programming
; Intelligent computing
; Intelligent systems
; Optimization
|
| Publish Place: | United States
|
| Indexed Type: | EI
|
| ISBN: | 9781420000000
|
| Department: | (1) School of Information Engineering, China University of Geosciences, Beijing, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China; (3) Dep. of Computer and Information Sci. and Eng., University of Florida, Gainesville, FL, United States
|
| Sponsorship: | IEEE Beijing Section; Xiamen University; Fujian Association for Artificial Intelligence (FAAI); Shanghai Jiaotong University; Iwate Prefectural University
|
| English Abstract: | This paper presents a new method that solves a mixed constraints problem by transforming it into a mixed integer programming problem. The method builds the connection between the feasibility of a mixed constraint problem and the solution to a mixed integer programming problem. The correctness of this method is proven. This method will be beneficial for the further integration of constraint programming and optimi:mtion methods. ©2010 IEEE. |
| Language: | 英语
|
| Content Type: | 会议论文
|
| URI: | http://ir.iscas.ac.cn/handle/311060/8850
|
| Appears in Collections: | 计算机科学国家重点实验室 _会议论文
|
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| 05658781.pdf（284KB） | -- | -- | 限制开放 | -- | 联系获取全文 |
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| Recommended Citation: | |
Ji Xiaohui,Huang Zhuo. optimization method for mixed constraints problem solving[C]. 见:2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010. Xiamen, China. 40845.
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