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A resource allocation mechanism based on matching and bargaining is presented. There are many resource providers and many resource seekers. The resource valuations of the agents are private and are uniformly distributed over a common support. The regulator establishes two bid levels. Each participating agent is randomly paired with a counterpart and the allocations arise out of these bilateral encounters...
The use of electric vehicles in urban zones is an alternative to reduce the emission of gases that enhance the greenhouse effect. For promoting and encouraging this use, charging stations should be built due to the low autonomy of electric vehicles. Therefore, it is necessary to allocate these stations throughout the city, which will increase the load demand in the distribution system. In order to...
In an environment of autonomous agents, it is advantageous for agents to function with as little information exchange as possible. Although zero information exchange is impractical, a small amount of information exchange is sufficient for coordinated management of two resources. At minimum, cooperating agents need to be able to operate alone for short periods. We explore the limits of coordinated...
Next-generation Network wireless Communication System has a variety of access modes. In order to solute how to select a proper access network under this feature and to realize the load balancing, A ubiquitous networks configuration based on multi-agent is proposed in this paper, use multi-agent Q-learning to realize the load balancing in Ubiquitous Networks with heterogeneous Radio Access Technologies...
With the rapid advances in communication and networking, especially in Grid technique, an increasing number of applications will involve computing systems. This article focus that how to schedule system resources in reason and explore the dynamic scheduling method to the parallel tasks in the federation. According to task scheduling of content and objectives in the simulation grid, the HLA federate...
In the near future, most container terminals will no longer be able to expand its surrounding land and will thus be unable to meet the storage requirements due to the boom in world trade. A solution is to improve utilization of the available resources. This paper presents a multi-agent theory based system for resource allocation and operation scheduling problems in container terminal to improve the...
While two main approaches, namely the centralized and the market-based approaches, have been used and compared in the literature for task allocation problems, uncertainty and dynamism imposed in the mobile task allocation problem (MTAPs) require new techniques for comparing these two approaches due to the limitations of traditional mathematical modeling techniques. This paper proposes an in-progress...
With the rapid advances in communication and networking, especially in grid technique, an increasing number of applications will involve computing systems. Consequently, the system aims at the puzzles in current HLA-based simulation system, and combines with a new grid technique. These simulation applications in turn create an increasing demand for efficient resource management, request handling policies...
To realize the emerging potential of Distributed Generation (DG), a system approach which views generation and associated loads as microgrids is becoming a promising solution for the future power infrastructure. However, DG implies unpredictability of the energy production, in addition to the unpredictability of energy consumption. On the purpose of matching electricity supply and demand, an agent-based...
Federate migration is a fundamental mechanism for large-scale distributed simulations. It provides the means for simulation load-balancing and thus improves the simulation's overall performance. Given its importance for simulations, several federate migration approaches have been proposed in the literature. Some approaches freeze the entire simulation, others use third-party mechanisms to transport...
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