Intelligent Distributed Computing XII

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...

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Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydavateľské údaje: Cham : Springer International Publishing, 2018.
Vydanie:1st ed. 2018.
Edícia:Studies in Computational Intelligence, 798
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ISBN:9783319996264
ISSN:1860-949X ;
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020 |a 9783319996264 
024 7 |a 10.1007/978-3-319-99626-4  |2 doi 
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040 |a Springer-Nature  |b eng  |c CVTISR  |e AACR2 
041 |a eng 
245 1 0 |a Intelligent Distributed Computing XII  |h [electronic resource] /  |c edited by Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang. 
250 |a 1st ed. 2018. 
260 1 |a Cham :  |b Springer International Publishing,  |c 2018. 
300 |a XV, 448 p. 108 illus.  |b online resource. 
490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 798 
500 |a Engineering  
505 0 |a 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. 
516 |a text file PDF 
520 |a 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. 
650 0 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
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