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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021391