Parallel Genetic Algorithms In A Networked Workstation Environment
Price
Free (open access)
Volume
18
Pages
10
Published
1997
Size
1,098 kb
Paper DOI
10.2495/HPC970101
Copyright
WIT Press
Author(s)
Vitor Oliveira, Antonio Pina & Alberto Proenga
Abstract
Parallel Genetic Algorithms are suited to deal with problems with very large solution spaces and they can support efficient parallel distribution of work. In a PGA Island Model the migration strategy can take advantage of high latency communication channels in a distributed system. This approach suggests the use of networked workstation environments as a cost effective alternative to MPP systems. A Genetic Algorithm Programming System (GAPS) was developed to evaluate the proposed approach, which supports the design of parallel genetic programs and its execution in a distributed workstation environment. GAPS separates the specification of the problem and the user application interface, from the implemen
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