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Titlebook: Evolutionary Computing; AISB Workshop, Brigh Terence C. Fogarty Conference proceedings 1996 Springer-Verlag Berlin Heidelberg 1996 artifici

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51#
發(fā)表于 2025-3-30 08:40:15 | 只看該作者
52#
發(fā)表于 2025-3-30 13:41:42 | 只看該作者
53#
發(fā)表于 2025-3-30 19:03:35 | 只看該作者
54#
發(fā)表于 2025-3-30 23:10:39 | 只看該作者
Global selection methods for massively parallel computers,gorithms can be implemented such that their expected behaviour is identical or very close to those of the sequential algorithms from which they originated, but with the advantage of significant speed improvements associated with parallelism.
55#
發(fā)表于 2025-3-31 03:56:17 | 只看該作者
56#
發(fā)表于 2025-3-31 06:14:33 | 只看該作者
The Royal Road functions: description, intent and experimentation,y in finding good solutions. However, it is discovered that a simple thresholding algorithm was able to produce comparable results on the basic Royal Road function and remained robust when applied to variations of the function. The GA required modification to compete on some variations and suffered severe performance deterioration on others.
57#
發(fā)表于 2025-3-31 09:35:46 | 只看該作者
Conference proceedings 1996 together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of evolutionary computing in various areas, such as learning, scheduling, searching, genetic programming, image processing, and robotics. Eleven papers are devoted to evolutionary computing theory and techniques.
58#
發(fā)表于 2025-3-31 15:36:33 | 只看該作者
0302-9743 ial Intelligence and Simulation of Behaviour, AISB, at the University of Sussex in Brighton, UK, in April 1996..The 22 revised full papers included in the book, together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of
59#
發(fā)表于 2025-3-31 20:43:18 | 只看該作者
60#
發(fā)表于 2025-3-31 22:03:53 | 只看該作者
https://doi.org/10.1007/978-3-030-73628-6gorithms can be implemented such that their expected behaviour is identical or very close to those of the sequential algorithms from which they originated, but with the advantage of significant speed improvements associated with parallelism.
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