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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Durillo, J.J. Nebro, A.J. Luna, F. Alba, E. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. de Lenguajes y Cienc. de la Comput., Univ. de Malaga, Malaga (Durillo, J.J.; Nebro, A.J.; Luna, F.; Alba, E.) |
| Abstract | Many of the optimization problems from the real world are multiobjective in nature, and the reference algorithm for multiobjective optimization is NSGA-II. Frequently, these problems present a high complexity, so classical metaheuristic algorithms fail to solve them in a reasonable amount of time; in this context, parallelism is a choice to overcome this fact to some extent. In this paper we study three parallel approaches (a synchronous and two asynchronous strategies) for the NSGA-II algorithm based on the master-worker paradigm. The asynchronous schemes are designed to be used in grid systems, so they can make use of hundreds of machines. We have applied them to solve a real world problem which lies in optimizing a broadcasting protocol using a network simulator. Our experiences reveal that significant time reductions can be achieved with the distributed approaches by using a grid system of more than 300 processors. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 253333 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424416936 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2008.4536375 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Master-slave Steady-state Parallel processing Broadcasting Protocols Stochastic processes Synchronous generators Concurrent computing Pareto optimization NP-hard problem |
| Content Type | Text |
| Resource Type | Article |
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