Modelling spatial self-organisation with swarm intelligence processes

Authors:
Rawan Ghnemat;Cyrille Bertelle;Gerard H. E. Duchamp
Affiliations:
German-Jordanian University, P.O. Box 35247, Amman 11180, Jordan.;LITIS, University of Le Havre, 25 rue Philippe Lebon, B.P. 540, 76058 Le Havre Cedex, France.;LIPN, University of Paris XIII, 99 Avenue Jean-Baptiste Clement, 93430 Villetaneuse, France
Venue:
International Journal of Bio-Inspired Computation
Year:
2010

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Abstract

Urban dynamics modelling needs to implement spatial organisation emergence in order to describe the development of services evolution and their usage within spatial centres. In this paper, we propose an extension of the nest building algorithm with multicentre, multicriteria and adaptive processes. We combine a decentralised approach based on emergent clustering mixed with spatial constraints or attractions. Typically, this model is suitable to analyse and simulate urban dynamics like the evolution of cultural equipment in urban area.