Multi Agent System Based Approach for Industrial Process Simulation

Benoudina, Lazhar; RedjimiRedjimi, Mohammed

doi:10.18280/jesa.540202

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…The agents can effectuate a set of operations in the same group such as communication, cooperation, and negotiation. Benoudina et al [29] used a multi-agent platform to build a simulator based on reactive agents capable to transform this complex system into a data processing program that can represent its structure, its communication, its behavior, its control loops and verify the integrity and its proper functioning.…”

Section: Related Workmentioning

confidence: 99%

New Game-Theoretic Convolutional Neural Network Applied for the Multi-Pursuer Multi-Evader Game

Sid,

Djezzar,

Souidi

et al. 2023

cai

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Pursuit-Evasion Game (PEG) can be defined as a set of agents known as pursuers, which cooperate with the aim forming dynamic coalitions to capture dynamic evader agents, while the evaders try to avoid this capture by moving in the environment according to specific velocities. The factor of capturing time was treated by various studies before, but remain the powerful tools used to satisfy this factor object of research. To improve the capturing time factor we proposed in this work a novel online decentralized coalition formation algorithm equipped with Convolutional Neural Network (CNN) and based on the Iterated Elimination of Dominated Strategies (IEDS). The coalition is formed such that the pursuer should learn at each iteration the approximator formation achieving the capture in the shortest time. The pursuer's learning process depends on the features extracted by CNN at each iteration. The proposed supervised technique is compared through simulation, with the IEDS algorithm, AGR algorithm. Simulation results show that the proposed learning technique outperform the IEDS algorithm and the AGR algorithm with respect to the learning time which represents an important factor in a chasing game.

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Section: Related Workmentioning

confidence: 99%

New Game-Theoretic Convolutional Neural Network Applied for the Multi-Pursuer Multi-Evader Game

Sid,

Djezzar,

Souidi

et al. 2023

cai

View full text Add to dashboard Cite

show abstract

“…The simulation process requires data. Other sectors, especially the construction sector, use simulation before physically implementing various engineering systems and procedures [1][2][3][4][5][6][7][8]. From an internet search on Google Scholar, using Virtual Labs or its synonyms for simulation modeling has gained significant attention and usage within the construction and other industries, primarily due to the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

Integrated Virtual Modeling and Aggregation Framework for Optimized Management of Asphaltic Concrete Mixtures Data

Ezekwesili,

Ugwu,

Onyia

2023

AMA_B

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This paper aims to create a model template systematically designed to manage, collate, and transform a plethora of raw asphalt concrete mix design data into a format conducive to simulated modeling. Using a Virtual Lab for simulation modeling is becoming popular in construction and requires data. Also, the gathered raw data in different forms becomes inputted into a well-developed format and framework for ease of usage. The paper achieved its goals by examining relevant literature to identify templates, criteria, principles, and standards for asphalt concrete mix design. Subsequently, it created a template with detailed attention to spreadsheet design and integrating essential parameters and criteria. The text then emphasized simplicity through comprehensive documentation and automating values within each table box using defined criteria. The paper also rigorously verified the template by inputting random asphalt data into the model template to validate the model's accuracy. Results show that the model template can manage physical test data from over a thousand past asphalt mix designs. Outcomes also show that rearranging data in the model produced analogous outputs. Findings from this study may serve as a baseline for those who intend to manage the data collected for asphalt mix design modeling.

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RETRACTED ARTICLE: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model

Xie

Chen

2022

Oper Manag Res

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Under the development trend of economic globalization, the financial difficulties of the supply chain may cause a serious crisis to the enterprises in the whole supply chain. It is necessary to alleviate the transformation pressure faced by international trading enterprises (ITE), to enhance the core competitiveness of ITE. This paper takes the SCLM (Supply Chain and Logistic Management) of ITE as the research object. Based on the analysis of the existing SCLM experience of ITE and the Internet of Things (IoT) technology, this paper puts forward the economic analysis model of the IoT-based SCLM. Specific data of some ITE prove the effectiveness of the proposed model. Further optimization is carried out through process analysis. The results show that the proposed SCLM economic analysis model based on IoT can effectively maximize the interests of enterprises and shorten the supply chain process by adding information groups. The introduced IoT-based method reduces the Average Queue Time (AQT) of vehicles by nearly 7 times and the Average Waiting Time (AWT) by nearly 4 times. After the IoT technology is applied to the SCLM of ITE, this paper significantly improves the cooperation efficiency of various departments, optimizes the relationship between customers and suppliers, and improves the core competitiveness of the enterprise. Therefore, this paper has important reference value for promoting the development of the small and micro machinery industry in China.

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Multi Agent System Based Approach for Industrial Process Simulation

Cited by 6 publications

References 36 publications

New Game-Theoretic Convolutional Neural Network Applied for the Multi-Pursuer Multi-Evader Game

New Game-Theoretic Convolutional Neural Network Applied for the Multi-Pursuer Multi-Evader Game

Integrated Virtual Modeling and Aggregation Framework for Optimized Management of Asphaltic Concrete Mixtures Data

RETRACTED ARTICLE: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model

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