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

Soporte

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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Tabla de materias

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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Idioma Inglés ● Formato PDF ● Páginas 92 ● ISBN 9783030685140 ● Tamaño de archivo 1.7 MB ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2021 ● Descargable 24 meses ● Divisa EUR ● ID 7789281 ● Protección de copia DRM social

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