Title: GENETIC AGENT TO OPTIMIZE THE AUTOMATIC GENERALIZATION PROCESS OF SPATIAL DATA

Issue Number: Vol. 1, No. 3
Year of Publication: 2011
Page Numbers: 693-701
Authors: Brahim lejdel, Okba kazar
Journal Name: International Journal of Digital Information and Wireless Communications (IJDIWC)
- Hong Kong

Abstract:


The automatic generalization processes consist to derive less detailed spatial data from data too detailed. The objective of this process is to provide the user a spatial data adapted to those needs. Several approaches are proposed to automate this process. These approaches include the agent-based approach. But the central problem of this approach is the selection of the optimal action performed by the agent in a given moment. In this paper, we proposed an approach that can optimize this process by satisfying the cartographic constraints. Our approach consist to provide agents geographic, genetic patrimony, to enable them choosing the optimal action, from where the concept of genetic agent.