Structure and Performance of Fine-Grain Parallelism in Genetic Search (1993)
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BibTeX
@MISC{Baluja93structureand,
author = {Shumeet Baluja},
title = {Structure and Performance of Fine-Grain Parallelism in Genetic Search},
year = {1993}
}
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Abstract
Within the parallel genetic algorithm framework, there currently exists a growing dichotomy between coarse-grain and fine-grain parallel architectures. This paper attempts to characterize the need for fine-grain parallelism. and to introduce and compare three models of fine-grain parallel genetic algorithms (GAs). The performance of the three models is examined on seventeen test problems and is compared to the performance of a coarse-grain parallel GA. Preliminary. results indicate that the massive distribution of the fine-grain parallel GA and the modified population topology yield improvements in speed and in the number of evaluations required to find global optima.







