Multi agent systems and Arduino based smart micro-grid test bed

2019 ◽  
Author(s):  
Leo Raju ◽  
Antony Amalraj Morais ◽  
V. Balaji ◽  
S. Keerthivasan
Keyword(s):  
Multi Agent Systems ◽  
Test Bed ◽  
Agent Systems ◽  
Multi Agent ◽  
Micro Grid ◽  
Grid Test

Approach for Negotiation Problems in Multi-Agent Systems for DC Micro Grid Using Multi-Objective Evolutionary Algorithms

2015 ◽  
Vol 713-715 ◽  
pp. 2106-2109
Author(s):  
Mauricio Mauledoux ◽  
Edilberto Mejía-Ruda ◽  
Oscar I. Caldas
Keyword(s):  
Genetic Algorithms ◽  
Evolutionary Algorithms ◽  
Pareto Optimal ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Objective ◽  
Multi Agent ◽  
Micro Grid ◽  
Optimal Space ◽  
Multi Agents

The work is devoted to solve allocation task problem in multi agents systems using multi-objective genetic algorithms and comparing the technique with methods used in game theories. The paper shows the main advantages of genetic algorithms and the way to apply a parallel approach dividing the population in sub-populations saving time in the search and expanding the coverage of the solution in the Pareto optimal space.

Introduction to the Investigating in Neural Trust and Multi Agent Systems

2017 ◽  
pp. 269-273 ◽  
Author(s):  
Gehao Lu ◽  
Joan Lu
Keyword(s):  
Trust Model ◽  
Self Organizing Map ◽  
Multi Agent Systems ◽  
Test Bed ◽  
Computational Trust ◽  
Agent Systems ◽  
Reputation Mechanism ◽  
Trust And Reputation ◽  
Multi Agent ◽  
Propagation Methods

Introducing trust and reputation into multi-agent systems can significantly improve the quality and efficiency of the systems. The computational trust and reputation also creates an environment of survival of the fittest to help agents recognize and eliminate malevolent agents in the virtual society. The research redefines the computational trust and analyzes its features from different aspects. A systematic model called Neural Trust Model for Multi-agent Systems is proposed to support trust learning, trust estimating, reputation generation, and reputation propagation. In this model, the research innovates the traditional Self Organizing Map (SOM) and creates a SOM based Trust Learning (STL) algorithm and SOM based Trust Estimation (STE) algorithm. The STL algorithm solves the problem of learning trust from agents' past interactions and the STE solve the problem of estimating the trustworthiness with the help of the previous patterns. The research also proposes a multi-agent reputation mechanism for generating and propagating the reputations. The mechanism exploits the patterns learned from STL algorithm and generates the reputation of the specific agent. Three propagation methods are also designed as part of the mechanism to guide path selection of the reputation. For evaluation, the research designs and implements a test bed to evaluate the model in a simulated electronic commerce scenario. The proposed model is compared with a traditional arithmetic based trust model and it is also compared to itself in situations where there is no reputation mechanism. The results state that the model can significantly improve the quality and efficacy of the test bed based scenario. Some design considerations and rationale behind the algorithms are also discussed based on the results.

Roby-Go, a Prototype for Cooperating MiroSOT Soccer-Playing Robots

2005 ◽  
Vol 9 (4) ◽  
pp. 409-414 ◽  
Author(s):  
Gregor Novak ◽  
Keyword(s):  
Soccer Player ◽  
Mobile Platform ◽  
Open Architecture ◽  
Modular Construction ◽  
Multi Agent Systems ◽  
Test Bed ◽  
Agent Systems ◽  
Independent Test ◽  
Soccer Teams ◽  
Multi Agent

Perfectly working robot are basics to competitive robot soccer teams. The mobile minirobot we developed is two-wheeled and differentially driven (2WDD), featuring simple, compact, modular construction. The robot's open architecture enables it to be used both as a MiroSOT soccer player and as a mobile platform in such tasks as an independent test bed for multi agent systems (MAS).

Micro-grid grid robustness management using multi agent systems

2017 ◽  
Author(s):  
Leo Raju ◽  
Ramyaa Rathnakumar ◽  
Soundaryaa Ponnivalavan ◽  
L D Thavam ◽  
Antony Amalraj Morais
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Micro Grid
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