Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Multiagent systems
Entropy and self-organization in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
An Behavior-based Robotics
On the use of genetic algorithms to solve location problems
Computers and Operations Research - Location analysis
Ant colony optimization theory: a survey
Theoretical Computer Science
An environment-based methodology to design reactive multi-agent systems for problem solving
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
| Hi-index | 0.00 |
The facility positioning Deployment, location and siting are used as synonyms problem concerns the location of facilities such as bus-stops, fire stations, schools, so as to optimize one or several objectives. This paper contributes to research on location problems by proposing a reactive multiagent approach. Particularly, we deal with the p-median problem, where the objective is to minimize the weighted distance between the demand points and the facilities. The proposed model relies on a set of agents (the facilities) situated in a common environment which interact and attempt to reach a global optimization goal: the distance minimization. The interactions between agents and their environment, which is based on the artificial potential fields approach, allow us to locally optimize the agent's location. The optimization of the whole system is then obtained from a self-organization of the agents. The efficiency of the proposed approach is confirmed by computational results based on a set of comparisons with the k-means clustering technique.