By consulting various worldwide definitions of microgrids and distributed energy, this study presents a microgrid-structured multi-agent system and uses Matlab/Simulink to construct a circuit with microgrid features, which enables the changes in each electrical source and load in the microgrid to be monitored and controlled. This multi-agent system adheres to the Java Agent Development Framewor...

This paper presents the analysis and design of a system based on multi-agent systems (MAS) by negotiation with JADE framework (Java Agent DEvelopment) to solve the school timetabling problem. In the design, the system considers three types of agents; A coordinator agent responsible for instantiate, create and manage the group agents, where the number of teacher and group agents depends on each ...

Nowadays, multi-agent system is become promising means for the development of distributed systems, however its disadvantage is that it lacks the interconnection with semantic web such as Ontology Web Language (OWL). In this article, we aim to present a semantic knowledge model of an agent suitable for discrete environments as well as implementation and a use of such model using different softwa...

Agent-based approach to economic and financial analysis is a suitable research methodolgy for developing and understanding the complex patterns and phenomena that are observed in economic systems. In agent-based financial market models, prices can be endogenously formed by the system itself as the result of interaction of market participants. By using agents for the study, heterogeneous, bounde...

Holding commercial negotiations and selecting the best supplier in supply chain management systems are among weaknesses of producers in production process. Therefore, applying intelligent systems may have an effective role in increased speed and improved quality in the selections .This paper introduces a system which tries to trade using multi-agents systems and holding negotiations between any...

With nearly 100. 000 cases in Algeria, Alzheimer's disease (AD) represents a major public health problem. Therefore, several different automated methods have been developed to assist clinicians in their diagnosis. We propose here a method based on binary support vector machines (SVM) to distinguish between patients with Alzheimer disease (AD), patients with mild cognitive impairment (MCI) ...

Real life problems such as scheduling meeting between people at different locations can be modelled as distributed Constraint Satisfaction Problems (CSPs). Suitable and satisfactory solutions can then be found using constraint satisfaction algorithms which can be exhaustive (backtracking) or otherwise (local search). However, most research in this area tested their algorithms by simulation on a...

Cloud computing has become one of the leading technologies in world today. The benefits cloud affect end users directly. There are several frameworks, and each ways monitoring providing resources. eliminates customer requirements such as expensive system configuration massive infrastructure while improving dependability scalability. From user’s perspective, makes it easy to upload multiagents o...

The paper presents a comparison of available JAVA-based agent development tools (platforms) with respect to the specific requirements of agent-based manufacturing control solutions. We discuss the use of agents, as high-level decision-making entities, in combination with the low-level real-time control based on IEC 1131-3 or IEC 61499 standards. The need to run agents, written in JAVA language,...

Multi-agent systems (MAS) present an effective approach to the efficient development of modular systems composed of interacting agents. Several frameworks exist that aid the development of MAS, but they are often not very appropriate for some kind of uses, such as for Multi-Agent-based Simulation (MABS). Other frameworks exist for running simulations, sharing little with the former. While open ...