General applicability of genetic and simulated annealing algorithms for data mapping
We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. The results show that the GA and SA are insensitive to user parameters in wide ranges, completely fault tolerant, and unbiased towards particular...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | conferenceObject |
| Published: |
1995
|
| Online Access: | http://hdl.handle.net/10725/7976 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.researchgate.net/profile/Hassan_Diab2/publication/220800620_General_Applicability_of_Genetic_and_Simulated_Annealing_Algorithms_for_Data_Mapping/links/0046352009a7781929000000.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!