Agent-based modeling using swarm intelligence in geographical information systems

In this paper swarm intelligence algorithms are presented to deal with dynamical and spatial organization emergence. The goal is to model and simulate the development of spatial center and their dynamic interactions with the environment and the individuals; the swarm algorithms used are inspired from natural termite nest building and ant culturing algorithm. Combination of decentralized approaches based on emergent clustering mixed with spatial multi criteria constraints or attractions developed , extension of termite nest building algorithms has been proposed to have multi center adaptive process. The modeling has been made using agent based modeling techniques and the simulation developed using REPAST (recursive porous agent simulation toolkit) and OpenMap as geographical information system (GIS) software, some simulations result are provided.