DocumentCode
1653268
Title
A comparison of adaptive virtual constraint identification strategies for recurrent dynamic constraint satisfaction
Author
Dozier, Gerry
Author_Institution
Dept. of Comput. Sci. & Software Eng., Auburn Univ., AL, USA
Volume
1
fYear
2002
Firstpage
552
Lastpage
557
Abstract
In this paper, we compare four strategies designed to improve the search efficiency for solving recurrent dynamic constraint satisfaction problems. These strategies work by identifying and maintaining a set of virtual constraints based on their overall satisfiability. Of the four strategies, the co-adaptive method is superior
Keywords
constraint theory; identification; operations research; adaptive virtual constraint identification strategies; co-adaptive method; recurrent dynamic constraint satisfaction; satisfiability; virtual constraints; Biological cells; Cascading style sheets; Computer science; Genetic mutations; Monitoring; Software engineering; Stability; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006294
Filename
1006294
Link To Document