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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Frontiers of Evolutionary Computation (Hardcover, 2004 ed.) Loot Price: R2,808
Discovery Miles 28 080
Frontiers of Evolutionary Computation (Hardcover, 2004 ed.): Anil Menon

Frontiers of Evolutionary Computation (Hardcover, 2004 ed.)

Anil Menon

Series: Genetic Algorithms and Evolutionary Computation, 11

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Loot Price R2,808 Discovery Miles 28 080 | Repayment Terms: R263 pm x 12*

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Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (EC). They explore such topics as the role of building blocks, the balancing of exploration with exploitation, the modeling of EC algorithms, the connection with optimization theory and the role of EC as a meta-heuristic method, to name a few. The articles feature a mixture of informal discussion interspersed with formal statements, thus providing the reader an opportunity to observe a wide range of EC problems from the investigative perspective of world-renowned researchers. These prominent researchers include:
-Heinz MA1/4hlenbein,
-Kenneth De Jong,
-Carlos Cotta and Pablo Moscato,
-Lee Altenberg,
-Gary A. Kochenberger, Fred Glover, Bahram Alidaee and Cesar Rego,
-William G. Macready,
-Christopher R. Stephens and Riccardo Poli,
-Lothar M. Schmitt,
-John R. Koza, Matthew J. Street and Martin A. Keane,
-Vivek Balaraman,
-Wolfgang Banzhaf and Julian Miller.

Frontiers of Evolutionary Computation is ideal for researchers and students who want to follow the process of EC problem-solving and for those who want to consider what frontiers still await their exploration.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Genetic Algorithms and Evolutionary Computation, 11
Release date: February 2004
First published: 2004
Editors: Anil Menon
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Hardcover
Pages: 271
Edition: 2004 ed.
ISBN-13: 978-1-4020-7524-7
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 1-4020-7524-3
Barcode: 9781402075247

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