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. Ed(S): Pelikan, Martin; Sastry, Kumara; Cantu-Paz, Erick - Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Volume 33) - 9783540349532 - V9783540349532
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Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Volume 33)

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Description for Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Volume 33) hardcover. Focuses on the estimation of distribution algorithms (EDAs) - an important technique leading to breakthroughs in genetic and evolutionary computation and in optimization. This book covers a broad spectrum of subjects, ranging from design of robust and scalable optimization algorithms to efficiency enhancements and applications of these algorithms. Editor(s): Pelikan, Martin; Sastry, Kumara; Cantu-Paz, Erick. Series: Studies in Computational Intelligence. Num Pages: 349 pages, 26 black & white tables, biography. BIC Classification: UY. Category: (P) Professional & Vocational. Dimension: 297 x 210 x 22. Weight in Grams: 1540.
I’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you’re going to pick up this book and ?nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary ... Read more

Product Details

Format
Hardback
Publication date
2006
Publisher
Springer/Sci-Tech/Trade Germany
Number of pages
349
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
349
Place of Publication
Berlin, Germany
ISBN
9783540349532
SKU
V9783540349532
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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