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.
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.
![Iterative Optimizers: Difficulty Measures and Benchmarks](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.11.4)
Iterative Optimizers: Difficulty Measures and Benchmarks
224![Iterative Optimizers: Difficulty Measures and Benchmarks](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.11.4)
Iterative Optimizers: Difficulty Measures and Benchmarks
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Product Details
ISBN-13: | 9781119612407 |
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Publisher: | Wiley |
Publication date: | 04/10/2019 |
Sold by: | JOHN WILEY & SONS |
Format: | eBook |
Pages: | 224 |
File size: | 7 MB |