![Für diesen Artikel ist leider kein Bild verfügbar.](/img/platzhalter480px.png)
Iterative Optimizers
Difficulty Measures and Benchmarks
Seiten
2019
ISTE Ltd and John Wiley & Sons Inc (Verlag)
978-1-78630-409-4 (ISBN)
ISTE Ltd and John Wiley & Sons Inc (Verlag)
978-1-78630-409-4 (ISBN)
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.
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.
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.
1. Some Definitions.
2. Difficulty of the Difficulty.
3. Landscape Typology.
4. LandGener.
5. Test Cases.
6. Difficulty vs Dimension.
7. Exploitation and Exploration vs Difficulty.
8. The Explo2 Algorithm.
9. Balance and Perceived Difficulty.
Erscheinungsdatum | 17.04.2019 |
---|---|
Verlagsort | London |
Sprache | englisch |
Maße | 160 x 239 mm |
Gewicht | 431 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Technik ► Elektrotechnik / Energietechnik | |
ISBN-10 | 1-78630-409-0 / 1786304090 |
ISBN-13 | 978-1-78630-409-4 / 9781786304094 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Eine Einführung mit Java
Buch | Hardcover (2020)
dpunkt (Verlag)
44,90 €
Mit Bildern ganz einfach lernen und verstehen
Buch | Softcover (2023)
mitp Verlags GmbH & Co.KG
34,99 €
how metrics are transforming the work of journalists
Buch | Softcover (2024)
Princeton University Press (Verlag)
23,65 €