Iterative Optimizers: Difficulty Measures and Benchmarks
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2019
- Hardcover
- New

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Seller Inventory # V9781786304094
- Title
- Iterative Optimizers: Difficulty Measures and Benchmarks
- Author
- Maurice Clerc
- Publisher
- ISTE Ltd and John Wiley & Sons Inc
- Publication year
- 2019
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1786304090
- ISBN 13
- 9781786304094
- Series
- Book 6 of 10: Computer Engineering
Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life.
This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties.
The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.
"Synopsis" may belong to another edition of this title.
About the Author
Maurice Clerc is recognized as one of the foremost particle swarm optimization specialists in the world. A former France Telecom Research and Development engineer, he maintains his research activities as a consultant for optimization projects.
"About the title" may belong to another edition of this title.
Kennys Bookstore
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