The society of mind
A multi-agent model for the resource allocation problem: a reactive approach
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Using reactive multi-agent systems in simulation and problem solving
Distributed artificial intelligence
A projection method for lp norm location-allocation problems
Mathematical Programming: Series A and B
A methodology for agent-oriented analysis and design
Proceedings of the third annual conference on Autonomous Agents
Entropy and self-organization in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
An Behavior-based Robotics
Dealing with space in multi--agent systems: a model for situated MAS
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
On the use of genetic algorithms to solve location problems
Computers and Operations Research - Location analysis
Field-Based Coordination for Pervasive Multiagent Systems (Springer Series on Agent Technology)
Field-Based Coordination for Pervasive Multiagent Systems (Springer Series on Agent Technology)
Gradient field-based task assignment in an AGV transportation system
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A reactive agent-based problem-solving model: Application to localization and tracking
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
AgentScapes: designing water efficient landscapes using distributed agent-based optimization
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
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The Facility Location Problem (FLP) requires locating facilities in order to optimize some performance criteria. This problem occurs in many practical settings where facilities provide a service, such as the location of plants, bus-stops, fire stations, etc. Particularly, we deal with the continuous version of location problem where facilities have to be located in an Euclidean plane. This paper contributes to research on location problems by exploring a new approach based on reactive multiagent systems. The proposed model relies on a set of agents situated in a common environment which interact and attempt to reach a global optimization goal. The interactions between agents and their environment, which are based on the artificial potential fields approach, allow to locally optimize the agent's locations. The optimization of the whole system is the outcome of a process of agents self-organization. Then, we present how the model can be extended to the multi-level version of the location problem. Finally, the approach is evaluated to check its relevance. These evaluations concern both presented versions of the location problem.