A Generic Learning Multi-agent-System Approach for Spatio-Temporal-, Thermal- and Energy-Aware Scheduling

2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP) ◽

10.1109/pdp2018.2018.00010 ◽

2018 ◽

Author(s):

Christina Herzog ◽

Jean-Marc Pierson

Keyword(s):

System Approach ◽

Multi Agent System ◽

Energy Aware ◽

Agent System ◽

Energy Aware Scheduling ◽

Multi Agent ◽

Spatio Temporal

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A MULTI-AGENT SYSTEM APPROACH IN EVALUATING HUMAN SPATIO-TEMPORAL VULNERABILITY TO SEISMIC RISK USING SOCIAL ATTACHMENT

Risk Analysis XI ◽

10.2495/risk180041 ◽

2018 ◽

Author(s):

JULIUS BAÑGATE ◽

JULIE DUGDALE ◽

ELISE BECK ◽

CAROLE ADAM

Keyword(s):

Seismic Risk ◽

System Approach ◽

Multi Agent System ◽

Agent System ◽

Social Attachment ◽

Multi Agent ◽

Spatio Temporal

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Multi Agent System Approach for Shipboard Power System Reconfiguration

i-manager’s Journal on Electrical Engineering ◽

10.26634/jee.2.4.222 ◽

2009 ◽

Vol 2 (4) ◽

pp. 61-70

Author(s):

Ravi Babu Pallikonda ◽

◽

K. Prapoorna ◽

N.V. Prashanth ◽

A. Shruti ◽

...

Keyword(s):

Power System ◽

System Approach ◽

Multi Agent System ◽

Agent System ◽

System Reconfiguration ◽

Shipboard Power System ◽

Shipboard Power ◽

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Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human–landscape system. I. Structure and theoretical specification

Ecological Informatics ◽

10.1016/j.ecoinf.2008.04.003 ◽

2008 ◽

Vol 3 (2) ◽

pp. 135-153 ◽

Author(s):

Quang Bao Le ◽

Soo Jin Park ◽

Paul L.G. Vlek ◽

Armin B. Cremers

Keyword(s):

Land Use ◽

Temporal Dynamics ◽

System Model ◽

Multi Agent System ◽

Agent System ◽

Dynamic Simulator ◽

Multi Agent ◽

Landscape System ◽

Spatio Temporal ◽

Human Landscape

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BIM and Sustainability Integration: Multi-agent System Approach

Advances in Building Information Modeling - Communications in Computer and Information Science ◽

10.1007/978-3-030-42852-5_10 ◽

2020 ◽

pp. 125-136

Author(s):

Bahriye Ilhan ◽

Faikcan Kog

Keyword(s):

System Approach ◽

Multi Agent System ◽

Agent System ◽

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A Multi-Agent System Approach for Algorithm Parameter Tuning

Advances in Intelligent and Soft Computing - 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009) ◽

10.1007/978-3-642-00487-2_15 ◽

2009 ◽

pp. 140-149

Author(s):

R. Pavón ◽

D. Glez-Peña ◽

R. Laza ◽

F. Díaz ◽

M. V. Luzón

Keyword(s):

System Approach ◽

Parameter Tuning ◽

Multi Agent System ◽

Agent System ◽

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A multi-agent System Approach for Feature-driven Generalization of isobathymetric Line

Lecture Notes in Geoinformation and Cartography - Advances in Cartography and GIScience. Volume 1 ◽

10.1007/978-3-642-19143-5_27 ◽

2011 ◽

pp. 477-495 ◽

Author(s):

Xunruo Zhang ◽

Eric Guilbert

Keyword(s):

System Approach ◽

Multi Agent System ◽

Agent System ◽

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Folkview: A Multi-agent System Approach to Modeling Folksonomies

Lecture Notes in Computer Science - Advances in User Modeling ◽

10.1007/978-3-642-28509-7_19 ◽

2012 ◽

pp. 198-212 ◽

Author(s):

Antonina Dattolo ◽

Emanuela Pitassi

Keyword(s):

System Approach ◽

Multi Agent System ◽

Agent System ◽

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Simulation of Halal Food Supply Chain with Certification System: A Multi-Agent System Approach

Intelligent Agents and Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-89674-6_29 ◽

2008 ◽

pp. 259-266 ◽

Author(s):

YiHua Lam ◽

Saadat M. Alhashmi

Keyword(s):

Supply Chain ◽

Food Supply ◽

System Approach ◽

Multi Agent System ◽

Food Supply Chain ◽

Agent System ◽

Certification System ◽

System A ◽

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Multi-agent system approach for improved real-time visual summaries of geographical data streams

International Journal of Intelligent Systems Technologies and Applications ◽

10.1504/ijista.2018.10015222 ◽

2018 ◽

Vol 17 (3) ◽

pp. 255

Author(s):

Hafida Belbachir ◽

Robert Laurini ◽

Zina Bouattou

Keyword(s):

Real Time ◽

Data Streams ◽

System Approach ◽

Multi Agent System ◽

Agent System ◽

Geographical Data ◽

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Multi-agent system approach applied to a manufacturer’s supply chain using global objective function and learning concepts

Journal of Intelligent Manufacturing ◽

10.1007/s10845-017-1300-z ◽

2017 ◽

Vol 30 (3) ◽

pp. 1009-1019

Author(s):

Rafaella de Souza Henriques

Keyword(s):

Supply Chain ◽

Objective Function ◽

System Approach ◽

Multi Agent System ◽

Agent System ◽

Multi Agent ◽

Global Objective

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