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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| التنسيق: | conferenceObject |
| منشور في: |
1995
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| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
إضافة وسم
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الانترنت
http://hdl.handle.net/10725/7976http://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