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Bibliografias temáticas / Multi-agent system analysis / Livros

Livros sobre o tema "Multi-agent system analysis"

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Autor: Grafiati

Publicado: 7 de julho de 2024

Última modificação: 7 de julho de 2024

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Veja os 19 melhores livros para estudos sobre o assunto "Multi-agent system analysis".

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1

Massimo, Cossentino, ed. Multi-agent systems: 9th European workshop, EUMAS 2011, Maastricht, the Netherlands, November 14-15, 2011 : revised selected papers. Berlin: Springer, 2012.

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2

Jordi, Sabater-Mir, Sichman Jaime Simão e SpringerLink (Online service), eds. Multi-Agent-Based Simulation XII: International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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3

Chen, Guanrong, Wenwu Yu, Guanghui Wen e Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.

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4

Chen, Guanrong, Wenwu Yu, Guanghui Wen e Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.

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5

Chen, Guanrong, Wenwu Yu, Guanghui Wen e Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.

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6

Chen, Guanrong, Wenwu Yu, Guanghui Wen e Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.

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7

Plinere, Darja. Development of a Multi-agent System for Supply Chain Management Efficiency Improvement. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226915.

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The aim of the doctoral thesis is to develop an approach to the multi-agent system development that ensures the improvement of supply chain management efficiency. The developed approach allows creating a multi-agent system that can be used for various supply chain participants, as it reviews main supply chain processes and tasks to be solved. Various inventory management methods were used in the developed multi-agent system: forecasting algorithms, ABC analysis, and inventory replenishment point determination. Production scheduling and rescheduling were also used in the multi-agent system to reduce the total production time.

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8

Evaluation of a Multi-Agent System for Simulation and Analysis of Distributed Denial-of-Service Attacks. Storming Media, 2003.

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9

Scown, Philip James Andrew. Knowldege needs analysis for simultaneously multi-agent real-time systems. 1997.

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10

Liu, Cheng-Lin, e Fei Liu. Consensus Problem of Delayed Linear Multi-Agent Systems: Analysis and Design. Springer Singapore Pte. Limited, 2016.

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11

Liu, Cheng-Lin, e Fei Liu. Consensus Problem of Delayed Linear Multi-agent Systems: Analysis and Design. Springer, 2016.

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12

Zheng, Jianying, Lihua Xie, Liang Xu e Qinglei Hu. Control over Communication Networks: Modeling, Analysis, and Design of Networked Control Systems and Multi Agent Systems over Imperfect Communication. Wiley & Sons, Limited, John, 2023.

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13

Zheng, Jianying, Lihua Xie, Liang Xu e Qinglei Hu. Control over Communication Networks: Modeling, Analysis, and Design of Networked Control Systems and Multi Agent Systems over Imperfect Communication. Wiley & Sons, Incorporated, John, 2023.

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14

Zheng, Jianying, Lihua Xie, Liang Xu e Qinglei Hu. Control over Communication Networks: Modeling, Analysis, and Design of Networked Control Systems and Multi Agent Systems over Imperfect Communication. Wiley & Sons, Incorporated, John, 2023.

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15

Zheng, Jianying, Lihua Xie, Liang Xu e Qinglei Hu. Control over Communication Networks: Modeling, Analysis, and Design of Networked Control Systems and Multi Agent Systems over Imperfect Communication. Wiley & Sons, Incorporated, John, 2023.

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16

Villatoro, Daniel, Jaime Simao Sichman e Jordi Sabater-Mir. Multi-Agent-Based Simulation XII: International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Springer, 2012.

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17

Swarm Intelligence Methods for Statistical Regression. Taylor & Francis Group, 2018.

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18

Mohanty, Soumya. Swarm Intelligence Methods for Statistical Regression. Taylor & Francis Group, 2018.

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19

Mohanty, Soumya. Swarm Intelligence Methods for Statistical Regression. Taylor & Francis Group, 2018.

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