Benchmarking Parallel Natural Algorithms for Telecommunications Device Design
This work presents the benchmark of three different adapted parallel natural inspired algorithms (Genetic Algorithm, Evolutionary Strategy and Artificial Immune System) integrated to some numerical techniques to optimize a microstrip antenna and crystal based photonic filter. The evaluations were fo...
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Published in | International journal of advanced research in computer science Vol. 4; no. 8 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Udaipur
International Journal of Advanced Research in Computer Science
01.05.2013
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Subjects | |
Online Access | Get full text |
ISSN | 0976-5697 |
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Summary: | This work presents the benchmark of three different adapted parallel natural inspired algorithms (Genetic Algorithm, Evolutionary Strategy and Artificial Immune System) integrated to some numerical techniques to optimize a microstrip antenna and crystal based photonic filter. The evaluations were focused on parallel computing impact, considering convergence and runtime simulation analyses. This benchmark contributes to point out their efficiency of these algorithms to optimize telecommunication devices integrated with some numerical solution, and it also provide runtime equation estimative for these optimizations. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 |
ISSN: | 0976-5697 |