List of Articles Multi agent system

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  1 - On the Applications and Techniques of Vehicular Ad-Hoc Networks
  mohsen Norouzi ali arshaghi navid Razmjooy Mohsen ashourian
  10.30486/mjtd.2022.695922
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  2 - Development of a multi-agent recommender system for intelligent shopping assistants
  Ramazan Teimouri Yansari Mojtaba Ajoudani
  Introduction Due to the increasing volume and services available on the web, tools such as recommender systems in websites and applications that can help users find information and services of interest can be provided. For this reason, suitable guidance and suggestions More

  Introduction Due to the increasing volume and services available on the web, tools such as recommender systems in websites and applications that can help users find information and services of interest can be provided. For this reason, suitable guidance and suggestions for users in different choices, according to the user's priorities in different areas of a specific position, have been provided. Method Recommender systems are information systems that assist in the decision-making process by modeling the behavior of users in operational environments in ranking, comparing, selecting and choose items by users, narrowing the information search through high-quality and accurate recommendations. In this research, a multi-agent recommender system is proposed as an intelligent shopping assistant in the process of buying suitable offers. The proposed model is used to analyze the sales data set of a UK-based store containing 1,067,371 records of online sales data. Results By simulating the proposed model, the results of applying the model to the relevant data were analyzed. The proposed model in this research was simulated in MATLAB software version 2022 and the results of applying the proposed model on the data related to the sale of an online shopping were analyzed. According to the results, in this evaluation, the accuracy of the proposed model was 91.5% on average, compared to the neural network model, it was 86.41%, compared to the KNN model, 78.32%, compared to the SOM Ensembles model, 74.38%, compared to the Global Top-N model, 69.78%, compared to the Weighted item-based model, 72.31%, and compared to The Naïve Bayesian model has an accuracy of 59.68%, a higher accuracy in the right suggestion to users. Discussion In this research, while studying recommender systems, the challenges in this field were examined and multi-agent systems were used to provide suggestions and recommendations with high accuracy and quality in ranking, comparison, selection and preferences of users' items in the decision-making process in operational environments. By combining multi-agent systems, multi-agent recommender systems were proposed that can provide suitable recommendations as a purchasing assistant in the purchasing process. The results of applying the proposed model on the data related to the purchase history of the customers of an online shopping showed that the proposed model has a good efficiency in evaluating the parameters used in comparison with the common methods in this property field. Manuscript profile
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  3 - MAS Based Intelligent Protection Coordination Scheme for Distribution Network with Distributed Generation
  Mahmoud Hojjati Majid Tavoosi Mohammad Reza Yousefi Ghazanfar Shahgholian Ali Reza seifi
  10.30486/teeges.2022.1960240.1018
  The rapid growth of grid-connected embedded distributed generations (DGs) is changing the operational characteristics of distribution networks (DNs). In order to implement DNs with DGs, some challenges should be faced, especially concerning protection issues, that may m More

  The rapid growth of grid-connected embedded distributed generations (DGs) is changing the operational characteristics of distribution networks (DNs). In order to implement DNs with DGs, some challenges should be faced, especially concerning protection issues, that may make conventional protection schemes ineffective. MAS techniques can enable the power grid to becomes smarter, reliable, selfhealing, and robust. Its decentralized nature and operational robustness make the MAS application a leading technology. Despite the fast, reliable and multi-purpose operation of MAS-based protection schemes, the inherent delay or failure of communication system must not affect the vital role of fault clearing, i.e., the ever-increasing DGs in DNs as well as network size increase has resulted in a heavy communication burden yielding to delay or even failure in communication. In this paper, an Intelligent protection algorithm is presented that protect the grid, when the connection between agents is lost, by using point-to-point communication between relay agents in the first layer of the MAS. Reduction of the agents used and no need to connect to the higher layers of the MAS  are the benefits of this method. For simulation, 16 bus Test DN is used, that The results confirm the applicability of the proposed model for grid protection coordination. Manuscript profile
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  4 - Utilizing Generalized Learning Automata for Finding Optimal Policies in MMDPs
  Samaneh Assar Behrooz Masoumi
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  5 - Improving Agent Performance for Multi-Resource Negotiation Using Learning Automata and Case-Based Reasoning
  Monireh Haghighatjoo Behrooz Masoumi Mohamad Reza Meybodi
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  6 - Adaptive Fault Compensation Approach for Uncertain Multi Agent Systems
  Shohre Sharifian Mahnaz Hashemi
  In this paper, the compensation controller approach is investigated for uncertain nonlinear multi agent systems. The dynamics of each of the agents includes uncertainties. Meanwhile, the exchange of the information between the agents is done under directed and fixed gra More

  In this paper, the compensation controller approach is investigated for uncertain nonlinear multi agent systems. The dynamics of each of the agents includes uncertainties. Meanwhile, the exchange of the information between the agents is done under directed and fixed graphs. In this design, nonlinear control method is used to design nonlinear backstepping controller. The systems uncertainties are approximated by using the adaptive control method. To overcome the unpredictable effects of faults occurrence in the considered system actuators, Defective adaptive compensation method is used without any knowing about the fault time, fault type and fault structure. Finally, with the introduction of the new Lyapunov functions and by using the graph theory, the stability of the closed loop system is proved. By presenting a simulated example, the efficiency of the control view presented for nonlinear multi agent systems is shown in the presence of unknown faults in actuators and unknown external disturbances. Manuscript profile