Genetic algorithms using SISAL parallel programming language [electronic resource]
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| Online Access: |
Online Access (via OSTI) |
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| Corporate Author: | |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Livermore, Calif : Oak Ridge, Tenn. :
Lawrence Livermore National Laboratory ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
1994.
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| Subjects: |
| Abstract: | Genetic algorithms are a mathematical optimization technique developed by John Holland at the University of Michigan [1]. The SISAL programming language possesses many of the characteristics desired to implement genetic algorithms. SISAL is a deterministic, functional programming language which is inherently parallel. Because SISAL is functional and based on mathematical concepts, genetic algorithms can be efficiently translated into the language. Several of the steps involved in genetic algorithms, such as mutation, crossover, and fitness evaluation, can be parallelized using SISAL. In this paper I will l discuss the implementation and performance of parallel genetic algorithms in SISAL. |
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| Item Description: | Published through SciTech Connect. 05/06/1994. "ucrl-id--114972-2" " conf-9405328--absts." "DE95014118" Science and Engineering Research Semester (SERS) student symposium, Livermore, CA (United States), 6 May 1994. Tejada, S. |
| Physical Description: | pp. 14, Paper 9 : digital, PDF file. |