Swarm Intelligence for Urban Dynamics Modelling

Journal Article · Thu Apr 16 00:00:00 EDT 2009 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3130612· OSTI ID:21301109

Ghnemat, Rawan; Bertelle, Cyrille ^[1]; Duchamp, Gerard H. E. ^[2]

---

1. LITIS-University of Le Havre 25 rue Philippe Lebon-BP 540 76058 Le Havre cedex (France)
2. LIPN-University of Paris XIII 99 avenue Jean-Baptiste Clement 93430 Villetaneuse (France)

In this paper, we propose swarm intelligence algorithms to deal with dynamical and spatial organization emergence. The goal is to model and simulate the developement of spatial centers using multi-criteria. We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. We propose an extension of the ant nest building algorithm with multi-center and adaptive process. Typically, this model is suitable to analyse and simulate urban dynamics like gentrification or the dynamics of the cultural equipment in urban area.

• OSTI ID: 21301109
• Journal Information: AIP Conference Proceedings, Vol. 1117, Issue 1; Conference: BICS 2008: 1. international conference on bio-inspired computational methods used for difficult problems solving: Development of intelligent and complex systems, Tg. Mures (Romania), 5-7 Nov 2008; Other Information: DOI: 10.1063/1.3130612; (c) 2009 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALGORITHMS
ARTIFICIAL INTELLIGENCE
COMPUTERIZED SIMULATION
MATHEMATICAL MODELS
NEURAL NETWORKS
PATTERN RECOGNITION
URBAN AREAS