DocumentCode
3155900
Title
Hybrid systems optimization using genetic algorithms
Author
Tian, Jimin ; Huang, Jingwei ; Zhao, Chunjun
Author_Institution
Inst. of Syst. Eng., Tsinghua Univ., Beijing, China
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
579
Abstract
In this paper, a location optimization model is proposed and a hybrid modeling methodology is discussed. Then, a non-standard real-coded genetic algorithm is deployed to optimize this model. A multi-objective fitness function is also considered during the optimization process. This model and the corresponding optimization method are implemented in a master planning project in Guilin City in South China, and a satisfactory result is obtained
Keywords
genetic algorithms; operations research; town and country planning; Guilin, China; hybrid modeling methodology; hybrid systems optimization; location optimization model; master planning project; multi-objective fitness function; nonstandard real-coded genetic algorithm; Air pollution; Cities and towns; Genetic algorithms; Minimization methods; Optimization methods; Production planning; Rivers; Traffic control; Urban planning; Water pollution;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672850
Filename
672850
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