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books
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms
By (author) Oliver Schütze, By (author) Carlos Hernández
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normal price: R 4 616.95
Price: R 4 385.95
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| book description |
This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the fieldof multi-objective optimization.
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 5 Jan 2021
Language |
Format | Hardback
Pages | 234
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0306-3772-9
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 6 379.95
Price | R 6 060.95
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Katie Daysh
Paperback / softback
384 pages
was: R 295.95
now: R 259.95
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This is indeed a story of mercy and the redemption it offers.
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Victor Frankenstein driven by the mad dream of creating his own creature, experiments with alchemy and science to build a monster stitched together from dead remains.
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