DocumentCode :
2027989
Title :
Computational methods through genetic algorithms for obtaining Stackelberg solutions to two-level zero-one programming problems
Author :
Nishizaki, I. ; Sakawa, M. ; Kato, K.
Author_Institution :
Dept. of Ind. & Syst. Eng., Hiroshima Univ., Japan
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2750
Abstract :
We develop computational methods through genetic algorithms for obtaining Stackelberg solutions to two-level zero-one programming problems. To demonstrate the feasibility and efficiency of the proposed methods, computational experiments are carried out and comparisons between the J.F. Bard and J.T. Moore (1990) method based on the implicit enumeration techniques and the proposed methods are provided
Keywords :
genetic algorithms; mathematical programming; tree searching; Stackelberg solutions; computational experiments; computational methods; genetic algorithms; implicit enumeration techniques; two-level zero-one programming problems; Computer industry; Genetic algorithms; Genetic engineering; Linear programming; Mathematical programming; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
Type :
conf
DOI :
10.1109/IECON.2000.972433
Filename :
972433
Link To Document :
بازگشت