On the Conception of a Multi-agent Analysis and Optimization Tool for Mechanical Engineering Parts

Agents and Multi-Agent Systems: Technologies and Applications 2020 - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-5764-4_9 ◽

2020 ◽

pp. 93-102

Author(s):

Paul Christoph Gembarski

Keyword(s):

Mechanical Engineering ◽

Multi Agent

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Agent Collaboration in a Multi-Agent-System for Analysis and Optimization of Mechanical Engineering Parts

Procedia Computer Science ◽

10.1016/j.procs.2020.08.061 ◽

2020 ◽

Vol 176 ◽

pp. 592-601

Author(s):

Paul Christoph Gembarski

Keyword(s):

Mechanical Engineering ◽

Multi Agent System ◽

Agent System ◽

Agent Collaboration ◽

Multi Agent

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Sprut ExPro — A Means of Generating Multi-Agent Design Systems for Mechanical Engineering. Part 2

Proceedings of Higher Educational Institutions Маchine Building ◽

10.18698/0536-1044-2017-7-60-71 ◽

2017 ◽

Author(s):

Г.Б. Евгенев ◽

Keyword(s):

Mechanical Engineering ◽

Agent Design ◽

Multi Agent ◽

Design Systems

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Sprut ExPro — A Means of Generating Multi-Agent Design Systems for Mechanical Engineering. Part 1

Proceedings of Higher Educational Institutions Маchine Building ◽

10.18698/0536-1044-2017-6-66-77 ◽

2017 ◽

Author(s):

Г.Б. Евгенев ◽

Keyword(s):

Mechanical Engineering ◽

Agent Design ◽

Multi Agent ◽

Design Systems

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The Yakubovich quadratic criterion, F-stability and multi-agent consensus.∗∗The paper was partially supported by RFBR, grants 13-0801014 and 14-08-01015 and St. Petersburg State University, grant 6.38.230.2015. Theorems 8 and 9 in Section 2 are obtained in Institute for Problems of Mechanical Engineering RAS and supported by Russian Scientific Foundation only (RSF), grant 14-29-00142

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.221 ◽

2015 ◽

Vol 48 (11) ◽

pp. 414-419

Author(s):

Anton V. Proskurnikov

Keyword(s):

Mechanical Engineering ◽

State University ◽

Russian Scientific ◽

Scientific Foundation ◽

Multi Agent

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Multi-Agent Systems in Mechanical Engineering: A Review

Agents and Multi-Agent Systems: Technologies and Applications 2021 - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-16-2994-5_16 ◽

2021 ◽

pp. 193-203

Author(s):

Stefan Plappert ◽

Paul Christoph Gembarski ◽

Roland Lachmayer

Keyword(s):

Mechanical Engineering ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent

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AI and intelligent buildings: Multi agent comfort and energy systems for building management systems

PsycEXTRA Dataset ◽

10.1037/e518112013-007 ◽

2012 ◽

Author(s):

Wim Zeiler ◽

Rinus van Houten ◽

Gert Boxem ◽

Joep van der Velden

Keyword(s):

Energy Systems ◽

Management Systems ◽

Intelligent Buildings ◽

Building Management ◽

Multi Agent ◽

Building Management Systems

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Elastohydrodynamics - '96 Fundamentals and Applications in Lubrication and Traction, Proceedings of the 23rd Leeds-Lyon Symposium on Tribology held in the Institute of Tribology, Department of Mechanical Engineering

10.1016/s0167-8922(08)x7013-0 ◽

1997 ◽

Keyword(s):

Mechanical Engineering

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Mechanical Engineering Notes

Scientific American ◽

10.1038/scientificamerican0822-133 ◽

1922 ◽

Vol 127 (2) ◽

pp. 133-133

Keyword(s):

Mechanical Engineering

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Mechanical engineering prospects

Production Engineer ◽

10.1049/tpe.1975.0076 ◽

1975 ◽

Vol 54 (4) ◽

pp. 217

Keyword(s):

Mechanical Engineering

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Multi-Agent Deep Reinforcement Learning for Decentralized Cooperative Traffic Signal Control

CICTP 2020 ◽

10.1061/9780784483053.039 ◽

2020 ◽

Author(s):

Yang Zhao ◽

Jian-Ming Hu ◽

Ming-Yang Gao ◽

Zuo Zhang

Keyword(s):

Reinforcement Learning ◽

Traffic Signal ◽

Signal Control ◽

Traffic Signal Control ◽

Multi Agent

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