DocumentCode
381162
Title
The evaluating scale of the best-seeking efficiency in an intricate and difficult combining and optimizing problem
Author
Han, Shenglian ; Yang, Lin ; He, Hua
Author_Institution
Inst. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
Volume
3
fYear
2002
fDate
2002
Firstpage
1794
Abstract
As a full domain searching algorithm in the area of intricate multi-apex functions solution, machine learning, production scheduling, large scale combination optimizing, adapting controlling and the best scheme seeking of the skill control, the GA has an increasingly remarkable application prospect. Accordingly, the evaluating scale of the best-seeking efficiency should become an important task of GA research. A reasonable and regular evaluating scale is the prerequisite for the construction of a highly efficient GA. This paper puts forward the evaluating scale of the best-seeking efficiency, taking an intricate and difficult combining and optimizing problem as an example.
Keywords
genetic algorithms; search problems; best-seeking efficiency; evaluation scale; full domain searching algorithm; genetic algorithm; intricate multi-apex functions solution; large scale combination optimization; machine learning; production scheduling; Automation; Helium; Large-scale systems; Production; Scheduling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1021391
Filename
1021391
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