Statistical Inference for Spatial Processes
Statistical Inference for Spatial Processes
Ant algorithms for discrete optimization
Artificial Life
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Applying Population Based ACO to Dynamic Optimization Problems
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Ant Colony Optimization
Geospatial information utility: an estimation of the relevance of geospatial information to users
Decision Support Systems
Topological analysis of criminal activity networks in multiple jurisdictions
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Editorial: intelligence and security informatics: information systems perspective
Decision Support Systems - Special issue: Intelligence and security informatics
Decision Support Systems - Special issue: Intelligence and security informatics
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
Information Sciences: an International Journal
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In this paper we describe a multiagent crime simulation model that resorts to concepts of self-organizing bio-inspired systems, in particular, of the Ant Colony Optimization algorithm. As the matching between simulated and real crime data distributions depends upon the tuning of some control parameters of the simulation model (in particular, of the initial places where criminals start out), we have modeled the calibration of the simulation as an optimization problem. The solution for the allocation of criminals into gateways is also undertaken by a bio-inspired method, namely, a customized Genetic Algorithm. We show that this approach allows for the automatic discovery of gateway configurations that, when employed in the simulation, produce crime distributions that are statistically close to those observed in real data.