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Authors: Fadratul Hafinaz Hassan and Allan Tucker

Affiliation: Brunel University West London, United Kingdom

ISBN: 978-989-8425-31-7

Keyword(s): Genetic algorithm, Simulated annealing, Hill-climbing, Cellular automata, Pedestrian simulation, Spatial layout.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Art and Design ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: The ease of movement of people inside a public space is highly impacted by the public space layout itself. For example, the flow of a large number of people should be smooth in a well designed public space such as a stadium or hospital. In extreme cases, people might crush to death during emergency evacuations in poorly designed spaces. It is vital that design takes into account the smooth flow of pedestrians. In this paper we describe an initial exploration in using models of pedestrian flow combined with heuristic search to assist in the automatic design for spatial layout. A two-way pedestrian flow system is simulated and heuristic search techniques (genetic algorithm, simulated annealing and hill climbing) are used to find feasible spatial layouts based upon the generated statistics with promising results.

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Paper citation in several formats:
Hassan, F. and Tucker, A. (2010). USING UNIFORM CROSSOVER TO REFINE SIMULATED ANNEALING SOLUTIONS FOR AUTOMATIC DESIGN OF SPATIAL LAYOUTS .In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 373-379. DOI: 10.5220/0003113503730379

@conference{icec10,
author={Fadratul Hafinaz Hassan. and Allan Tucker.},
title={USING UNIFORM CROSSOVER TO REFINE SIMULATED ANNEALING SOLUTIONS FOR AUTOMATIC DESIGN OF SPATIAL LAYOUTS },
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={373-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003113503730379},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - USING UNIFORM CROSSOVER TO REFINE SIMULATED ANNEALING SOLUTIONS FOR AUTOMATIC DESIGN OF SPATIAL LAYOUTS
SN - 978-989-8425-31-7
AU - Hassan, F.
AU - Tucker, A.
PY - 2010
SP - 373
EP - 379
DO - 10.5220/0003113503730379

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