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Found 3 from your keywords: subject="Genetic algorithms"
cover
Genetic programming 1996 : Proceedings of the First Annual Conference, July 2…
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Koza, John R.

Genetic programming is a domain-independent method for automatic programming that evolves computer programs that solve, or approximately solve, problems. Starting with a primordial ooze of thousands of randomly created computer programs composed of functions and terminals appropriate to a problem, a population of programs is progressively evolved over many generations using the Darwinian princi…

Edition
-
ISBN/ISSN
9780262315876
Collation
1 online resource (xviii, 568 pages) : illustrations.
Series Title
-
Call Number
005 GEN
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cover
Intelligence emerging : adaptivity and search in evolving neural systems
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Downing, Keith L.,

"Emergence--the formation of global patterns from solely local interactions--is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how the…

Edition
-
ISBN/ISSN
0262328666
Collation
1 online resource (xxii, 475 pages) :illustrations
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-
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-
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cover
An introduction to genetic algorithms
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Mitchell, Melanie

"A Bradford book."Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in d…

Edition
-
ISBN/ISSN
9780262280013
Collation
1 online resource (viii, 205 pages) :illustrations.
Series Title
-
Call Number
510 MIT i
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