Titre: High-Performance Simulation-Based Optimization (Studies in Computational Intelligence, 833)
�diteur: Springer
Date de parution: 2020
Langue: anglais
ISBN � 10 chiffres: 3030187667
ISBN � 13 chiffres: 9783030187668
Reliure: Couverture souple
�tat de l'article: New

A propos de ce titre

Synopsis

This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research. That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.

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