Adaptive And Multilevel Metaheuristics

May 30, 2008|
Adaptive And Multilevel Metaheuristics by Carlos Cotta
$288.50
Hardcover
Earn 1,443 plum® points
Buy Online
Ship to an address
Out of stock online.
Pick up in store
To see if pickup is available,
Find In Store
Not sold in stores
Prices and offers may vary in store

about

One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological attempts, it largely remains a scientific art. Transferring a part of this customization effort to the algorithm itself -endowing it with smart mechanisms to self-adapt to the problem- has been a long pursued goal in the field of metaheuristics.

These mechanisms can involve different aspects of the algorithm, such as for example, self-adjusting the parameters, self-adapting the functioning of internal components, evolving search strategies, etc.

Recently, the idea of hyperheuristics, i.e., using a metaheuristic layer for adapting the search by selectively using different low-level heuristics, has also been gaining popularity. This volume presents recent advances in the area of adaptativeness in metaheuristic optimization, including up-to-date reviews of hyperheuristics and self-adaptation in evolutionary algorithms, as well as cutting edge works on adaptive, self-adaptive and multilevel metaheuristics, with application to both combinatorial and continuous optimization.

Title:Adaptive And Multilevel Metaheuristics
Format:Hardcover
Product dimensions:275 pages, 9.21 X 6.14 X 0 in
Shipping dimensions:275 pages, 9.21 X 6.14 X 0 in
Published:May 30, 2008
Publisher:Springer-Verlag/Sci-Tech/Trade
Language:English
Appropriate for ages:All ages
ISBN - 13:9783540794370

Recently Viewed
|