Dimitris Souravlias & Konstantinos E. Parsopoulos 
Algorithm Portfolios [PDF ebook] 
Advances, Applications, and Challenges

Supporto

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, andopen problems in the design of algorithm portfolios and applications are explored to further motivate research in this field.

€69.54
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Tabella dei contenuti

1. Metaheuristic optimization algorithms.- 2. Algorithm portfolios.- 3. Selection of constituent algorithms.- 4. Allocation of computation resources.- 5. Sequential and parallel models.- 6. Recent applications.- 7. Epilogue.- References.

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Lingua Inglese ● Formato PDF ● Pagine 92 ● ISBN 9783030685140 ● Dimensione 1.7 MB ● Casa editrice Springer International Publishing ● Città Cham ● Paese CH ● Pubblicato 2021 ● Scaricabile 24 mesi ● Moneta EUR ● ID 7789281 ● Protezione dalla copia DRM sociale

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