Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 39, Issue 7, Pages 6469-6475Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.12.060
Keywords
Spatial analysis; Genetic algorithms; Micro genetic algorithm; Functional region; Suburban area; Rural area
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Funding
- National Natural Science Foundation of China (NSFC) [51105061]
- Research Fund for the Doctoral Program of Higher Education of China (RFDP) [20100008110002]
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A micro genetic algorithm with variable population size (VP mu GA) is proposed for the spatial analysis for the functional region of suburan-rural area, in which, the fitness function is implied by a functional region affecting index (Theta) with a 'law-of-gravity' interpretation. The VP mu GA evaluates the Theta represented dynamical behaviours over a 'short' to 'long' term period, which also revisits the urbanisation of Beijing and examines the Theta sensitivity to the functional distance of 13 suburban-rural districts. Numerical results with given statistics has been obtained using a specially devised simulation toolkit, it is shown that the VP mu GA method can work valuably as a tool for providing a functional distanced based estimation of the inter-relationships between the enterprises number, the regional profit, the local population, the regional employment, etc., and to use this understanding to evaluate suburban-rural districts that are more resilient and adaptable. (C) 2011 Elsevier Ltd. All rights reserved.
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