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A sequential sampling procedure for genetic algorithms

✍ Scribed by A.N. Aizawa; B.W. Wah

Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 458 KB
Volume: 27
Category: Article
ISSN: 0898-1221
DOI: 10.1016/0898-1221(94)90126-0

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✦ Synopsis

In this paper, we apply sequential decision theory for scheduling tests in genetic algorithms and investigate an efficient sampling procedure for improving its performance. We use a loss function specifically defined for our analysis and obtain sequential decision equations for the optimal procedure. We derive simplified equations so that the procedure can be applied in practice. Finally, we compare the performance of our heuristic sampling procedure with that of the original genetic algorithms.

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