| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10330589 | Future Generation Computer Systems | 2013 | 14 Pages |
Abstract
⺠Parallel Evolutionary Algorithms used for computationally intensive functions optimization. ⺠Volunteer Computing is cost effective but degrades optimization performance. ⺠Matchmaking hosts and tasks can improve the evolutionary algorithm performance. ⺠Matchmaking tested with Genetic Algorithm and Monte Carlo benchmark functions.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Malek Smaoui, Marc Garbey,