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Algorithm Portfolios : Advances, Applications, and Challenges, Paperback by S...

Description: Algorithm Portfolios : Advances, Applications, and Challenges, Paperback by Souravlias, Dimitris; Parsopoulos, Konstantinos E.; Kotsireas, Ilias S.; Pardalos, Panos M., ISBN 3030685136, ISBN-13 9783030685133, Brand New, Free shipping in the US 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. Th 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.

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Location: Jessup, Maryland

End Time: 2024-11-24T04:01:08.000Z

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Algorithm Portfolios : Advances, Applications, and Challenges, Paperback by S...

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Book Title: Algorithm Portfolios : Advances, Applications, and Challenges

Number of Pages: Xiv, 92 Pages

Language: English

Publication Name: Algorithm Portfolios : Advances, Applications, and Challenges

Publisher: Springer International Publishing A&G

Publication Year: 2021

Subject: Programming / Algorithms, Operations Research, General, Management Science

Item Weight: 16 Oz

Type: Textbook

Item Length: 9.3 in

Author: Konstantinos E. Parsopoulos, Dimitris Souravlias, Ilias S. Kotsireas, Panos M. Pardalos

Subject Area: Mathematics, Computers, Business & Economics

Item Width: 6.1 in

Series: Springerbriefs in Optimization Ser.

Format: Trade Paperback

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