Name
Title | ||
|---|---|---|
A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application |
Abstract | ||
|---|---|---|
In this paper, a parallel implementation of the modular simulated annealing algorithm for classical job-shop scheduling is presented. The implementation is for a multi agent system running on the distributed resource machine, which is a novel, scalable, distributed virtual machine based on Java technology. The problems tackled are well known, difficult benchmarks, widely used to measure the efficiency of metaheuristics with respect to both the quality of the solutions and the central processing unit time. The empirical results obtained show that the method proposed is successful in comparison with a sequential version of modular simulated annealing algorithm and other methods described in the literature. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1023/B:JIMS.0000042665.10086.cf | Journal of Intelligent Manufacturing |
Keywords | Field | DocType |
Parallel simulated annealing,multi-agent systems,job-shop scheduling,distributed resource machine | Simulated annealing,Virtual machine,Job shop scheduling,Scheduling (computing),Computer science,Parallel computing,Multi-agent system,Modular design,Metaheuristic,Scalability | Journal |
Volume | Issue | ISSN |
15 | 6 | 1572-8145 |
Citations | PageRank | References |
18 | 0.88 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Emin Aydin | 1 | 147 | 9.07 |
| T C Fogarty | 2 | 1147 | 152.53 |