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Intelligent distributed computing XII

Author: Javier Del SerEneko OsabaMiren Nekane BilbaoJavier J Sanchez-MedinaMassimo VecchioAll authors
Publisher: Cham : Springer, 2018. ©2018
Series: Studies in computational intelligence, 798.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Javier Del Ser; Eneko Osaba; Miren Nekane Bilbao; Javier J Sanchez-Medina; Massimo Vecchio; Xin-She Yang
ISBN: 9783319996264 3319996266 3319996258 9783319996257 9783319996271 3319996274
OCLC Number: 1055695434
Notes: Part I: Main Track.- Long distance in-links for ranking enhancement.- Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency.- Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures.- Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources.- About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework.- Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform.- Finding Best Compiler Options for Critical Software Using Parallel Algorithms.- Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks.- Part II: Energy.- A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms.- Bio-inspired approximation to MPPT under real irradiation conditions.- Part III: Industry.- Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data Classification.
Description: 1 online resource (448 pages)
Contents: Part I: Main Track --
Long distance in-links for ranking enhancement --
Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency --
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures --
Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources --
About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework --
Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform --
Finding Best Compiler Options for Critical Software Using Parallel Algorithms --
Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks --
Part II: Energy --
A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms --
Bio-inspired approximation to MPPT under real irradiation conditions --
Part III: Industry --
Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data Classification.
Series Title: Studies in computational intelligence, 798.
Other Titles: Intelligent distributed computing 12
Responsibility: Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang.

Abstract:

This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018.

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