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Metaheuristics and Optimization in Computer and Electrical Engineering / edited by Navid Razmjooy, Mohsen Ashourian, Zahra Foroozandeh

Contributor(s): Razmjooy, Navid, editor literario | Ashourian, Mohsen, editor literario | Foroozandeh, Zahra, editor literario | SpringerLink
Material type: materialTypeLabelE-bookSeries: (Lecture Notes in Electrical Engineering, 1876-1100; 696).Publisher: Cham, Switzerland : Springer International Publising, 2021Edition: First edition 2021.Description: 1 recurso en línea (VIII, 311 páginas) : 121 ilustraciones, 83 ilustraciones a color.ISBN: 9783030566890.Subject: Optimización matemáticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Design of Collaboration Engine for Large-Scale Heterogeneous Clusters -- Design of Collaboration Engine for Large-Scale Heterogeneous Clusters -- HSO Algorithm for RRAP Problem in 3-state Device Network -- A Method of Service Function Chain Arrangement for Load Balancing -- A Method of Service Function Chain Arrangement for Load Balancing -- Droop Control of Microgrid Based on Genetic Optimization Algorithm.
Abstract: The use artificial intelligence, especially in the field of optimization are increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.A43 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.26042122
Total holds: 0

Design of Collaboration Engine for Large-Scale Heterogeneous Clusters -- Design of Collaboration Engine for Large-Scale Heterogeneous Clusters -- HSO Algorithm for RRAP Problem in 3-state Device Network -- A Method of Service Function Chain Arrangement for Load Balancing -- A Method of Service Function Chain Arrangement for Load Balancing -- Droop Control of Microgrid Based on Genetic Optimization Algorithm.

The use artificial intelligence, especially in the field of optimization are increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.

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