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This paper deals with using an evolutionary algorithm (EA) as a prototyping tool to develop and refine a multi agents system (MAS) for problem solving. In the case of (distributed) solving, MAS may lack some knowledge about the solving mechanism. Using a GA as a prototyping tool thus enables to extract heuristics for use in the MAS design. This approach, based upon a model conciliating both EA and...
Research works in urban and crowd simulation tend to study systems, which are more and more complex, large and realistic. In such a case, the environment of the simulated system is a key concept which represents and manages the virtual world in which the agents are living. This paper starts from a modular object-oriented environment model, JaSIM, and proposes to agentify its components to enhance...
This article introduces a novel approach to increase the performances of multi-agent based simulations. We focus on a particular kind of multi-agent based simulation where a collection of interacting autonomous situated entities evolve in a situated environment. Our approach combines the fast multipole method coming from computational physics with agent-based microscopic simulations. The aim is to...
The economic challenge around the reduction and optimization of product development is important for industrial companies. The modern enterprise depends upon timely and effectively flows of knowledge through its organizations for success. The growing focus on knowledge management is leveraged by rapidly advancing information technology and, more importantly, driven by fundamental structural change...
Be able to distinguish and characterize abnormal auscultation sounds is important for an accurate medical diagnosis. Even though several researches have been done on the analysis of auscultation sounds, today auscultation remains subjective and difficult to share. In the context of the MERCURE telemedicine platform, we started a project called ASAP. It deals in developing objective tools for the analysis...
The work presented in this paper is related to the organizational knowledge management. The goal of this work is to allow the reuse of capitalized knowledge, in order to help designers in all phases of product design process. The proposed approach is based on the assistance of professional actors with an automatic and specific alarm using the project memory, eases pull (search) of knowledge by helping...
Energy management is nowadays a subject of great importance and complexity. It consists in choosing among a set of sources able to produce energy that will give energy to a set of loads by minimising losses and costs. The sources and loads are heterogeneous, distributed and the reaction of the system, the choice of sources, must be done in real-time to avoid power outage. The goal of this paper is...
Emergency situations require specific needs in particular in terms of communications, data transmission and sharing. Of particular concern are the transmissions of the patientpsilas medical history to the emergency physician, the transmission of medical streaming data collected by devices (ECG, stethoscope ...) to the emergency services. This will make it possible to get real time second opinion from...
In this paper, a cluster based hybrid architecture is proposed which not only combines the advantages of both cluster and flat architecture, but also introduces how to use multiple communication models in wireless sensor networks(WSNs). Furthermore, the hybrid architecture uses multicast to solve the problem of ldquobroadcast blastrdquo, and adopts deployment of heterogeneous sensors to solve the...
The work presented in this paper is related to the knowledge management. We aim to reuse knowledge during the design processes, in order to help designers in all the phases of the products design.We propose a reuse knowledge approach based on the assistance of the professional actors with an automatic push (proposition) of knowledge and ease pull (search) of knowledge by helping individual searches...
The goal of this paper is to bring forth a model for WSNs with the support of holonic multi-agent systems. In this paper, we not only introduce the RIO diagram to analyze the roles of sensor nodes during different periods of building up holonic architecture, but also present a self-organization scheme to construct a holonic architecture in WSNs. At last, performance analysis is proposed, including...
Vehicle collision avoidance is a promising safety approach to new transportation systems, with innovative capabilities, such as obstacle detection, vehicle collision avoidance control strategy and adaptability to different obstacles. This paper presents a Reactive Multi-agent solution to the vehicle collision avoidance control problem with a linear configuration. In our case, vehicle collision avoidance...
An open issue in self-organisation is how to control the emergence of behaviour. This issue is also of interest for engineering holonic multi-agent systems as any level of a holarchy is dependant of the emergent behaviours of its sub-levels. In order to tackle this specific feature of holonic multi-agent systems, the capacity concept which abstracts a know-how from its concrete realisation is introduced...
How to achieve the discrete location information of sensor nodes is a key problem in WSNs. The objective of this study is to bring forth a location scheme for WSNs in support of data collection and aggregation, which includes the discrete distance and angle schemes. At last, performance analysis is presented and the result indicates that the location scheme has the properties of scalability and efficiency...
The present study is designed to build up a model for WSNs by using holonic multi-agent systems. The study not only analyzes the benefits of the holonic model by considering six elements, but also brings forth the concept of self-organization to construct a holonic architecture in WSNs. At last, performance analysis is presented and the result indicates that the holonic model has the characteristics...
In this article we study the capacitated location routing problem (CLRP) which is defined as a combination of two problems: the facility location problem (FLP) and the vehicle routing problem (VRP). The CLRP is not just a purely academic construct; it has many applications in the practice. We propose a hybrid approach based on a tabu search algorithm combined with an improved ant colony system to...
This paper presents a population based Metaheuristic adopting the metaphor of social autonomous agents. In this context, agents cooperate and self-adapt in order to collectively solve a given optimization problem. From an evolutionary computation point of view, mechanisms driving the search consist of combining intensification operators and diversification operators, such as local search and mutation...
Patrolling an environment involves a team of agents whose goal usually consists in continuously visiting its most relevant areas as frequently as possible. For such a task, agents have to coordinate their actions in order to achieve optimal performance. Current research that tackles this complex multi-agent problem usually defines the environment as a graph, so that a wide range of applications can...
This paper describes a new approach aiming at optimizing and improving the efficiency of the medical emergency services. The purpose is to optimize the use of human and material resources by assigning the appropriate doctor to each patient and as a result reduce costs and time reactivity. In order to do so, we tackled the problem as a dynamic vehicle routing problem within a time frame. We have developed...
Vehicular platoon are a promising approach to new transportation systems, with innovative capabilities, such as vehicle sharing and adaptability to demand. This paper presents a multiagent solution to the platoon control problem with a linear configuration. In our case, a platoon is a vehicle train composed of a head vehicle and a variable number of followers. The head vehicle is human-driven or autonomous,...
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