Algorithm Portfolios - Advances, Applications, and Challenges (Paperback, 1st ed. 2021)

This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems. It is expected to be a primary reference point for researchers and doctoral students in relevant domains that seek a quick exposure to the field. The presentation focuses primarily on the applicability of the methods and the non-expert reader will find this book useful for starting designing and implementing algorithm portfolios. The book familiarizes the reader with algorithm portfolios through current advances, applications, and open problems. Fundamental issues in building effective and efficient algorithm portfolios such as selection of constituent algorithms, allocation of computational resources, interaction between algorithms and parallelism vs. sequential implementations are discussed. Several new applications are analyzed and insights on the underlying algorithmic designs are provided. Future directions, new challenges, and open problems in the design of algorithm portfolios and applications are explored to further motivate research in this field.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Optimization
Release date:	March 2021
First published:	2021
Authors:	Dimitris Souravlias • Konstantinos E Parsopoulos • Ilias S. Kotsireas • Panos M. Pardalos
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	92
Edition:	1st ed. 2021
ISBN-13:	978-3-03-068513-3
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Business & Economics > Business & management > Management & management techniques > Operational research Promotions
LSN:	3-03-068513-6
Barcode:	9783030685133

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