DocumentCode :
3730871
Title :
Research on co-evolution solving principle of complex problems
Author :
Renbin Xiao; Yingcong Wang; Zhenwu Tao
Author_Institution :
School of Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China
fYear :
2015
Firstpage :
133
Lastpage :
138
Abstract :
In view of the characteristics of complex systems and the complexity classification of problem objects, this paper first depicts the general solving process of complex problems and makes a formal description. Then it elaborates the basic principle of co-evolution solving between problem space, operator space and solution space, and simplifies the corresponding process into “problem space - solution space co-evolution”, “operator space - solution space co-evolution” and “problem space - operator space co-evolution”, according to the characteristics of specific problem. Finally, it discusses the concrete realization of the above three forms based on practical research cases. This paper aims to provide a new evolutionary solving method for complex problems, which provides guidance in methodological sense.
Keywords :
Adaptation models
Publisher :
ieee
Conference_Titel :
Chinese Automation Congress (CAC), 2015
Type :
conf
DOI :
10.1109/CAC.2015.7382483
Filename :
7382483
Link To Document :
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