Iterative Optimizers: Difficulty Measures and Benchmarks - Rilegato

Clerc, Maurice

Rilegato

ISBN 10: 1786304090 ISBN 13: 9781786304094

Casa editrice: Iste/Hermes Science Pub, 2019

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dettagli dell'edizione

• Editore: Iste/Hermes Science Pub
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1786304090
• ISBN 13: 9781786304094
• Rilegatura: Copertina rigida
• Numero di pagine: 186
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile