Title :
A comparison of adaptive virtual constraint identification strategies for recurrent dynamic constraint satisfaction
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Auburn Univ., AL, USA
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006294
