General applicability of genetic and simulated annealing algorithms for data mapping

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...

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Bibliographic Details
Main Author: Mansour, Nashat (author)
Other Authors: Kawash, Jalal (author), Diab, Hassan (author)
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
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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

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