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Connectionist Machine for Genetic Hill Climbing
David H. Ackley
€ 127.58
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Description for Connectionist Machine for Genetic Hill Climbing
paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 260 pages, biography. BIC Classification: UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 15. Weight in Grams: 433.
In the "black box function optimization" problem, a search strategy is required to find an extremal point of a function without knowing the structure of the function or the range of possible function values. Solving such problems efficiently requires two abilities. On the one hand, a strategy must be capable of learning while searching: It must gather global information about the space and concentrate the search in the most promising regions. On the other hand, a strategy must be capable of sustained exploration: If a search of the most promising region does not uncover a satisfactory point, the strategy must ... Read more
In the "black box function optimization" problem, a search strategy is required to find an extremal point of a function without knowing the structure of the function or the range of possible function values. Solving such problems efficiently requires two abilities. On the one hand, a strategy must be capable of learning while searching: It must gather global information about the space and concentrate the search in the most promising regions. On the other hand, a strategy must be capable of sustained exploration: If a search of the most promising region does not uncover a satisfactory point, the strategy must ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
260
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
260
Place of Publication
New York, NY, United States
ISBN
9781461291923
SKU
V9781461291923
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Connectionist Machine for Genetic Hill Climbing
` It is a good source for those interested in a concrete application of Boltzmann machines or (at several places) thoughtful treatise on their potential impact on the broader fields of artificial intelligence and machine learning. ' B.P. Buckles, Computing Reviews, January 1989