Title :
Distributed simulated re-annealing for dynamic constraint satisfaction problems
Author_Institution :
Neuchatel Univ., Switzerland
Abstract :
The aim of the paper is to show the advantage of the distributed approach based on an optimization process like simulated annealing. This advantage is exhibited through the example of constraint satisfaction problems. Since most of these problems are currently dynamic, the paper presents an extension of the basic model, which has already been developed and successfully experimented with (K. Ghedira, 1994). Thus, two revision mechanisms, based on distributed simulated “re-annealing”, are proposed and compared from the efficiency, stability and optimality points of view
Keywords :
constraint handling; cooperative systems; distributed processing; knowledge based systems; simulated annealing; distributed approach; distributed simulated re-annealing; dynamic constraint satisfaction problems; optimality; optimization process; revision mechanisms; simulated annealing; stability; Constraint optimization; Constraint theory; Context modeling; Iterative methods; Multiagent systems; Resource management; Simulated annealing; Stochastic processes;
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
DOI :
10.1109/TAI.1994.346437