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Spatial analysis for functional region of suburban–rural area using micro genetic algorithm with variable population size

Elsevier Ltd
Publication Date
DOI: 10.1016/j.eswa.2011.12.060
  • Spatial Analysis
  • Genetic Algorithms
  • Micro Genetic Algorithm
  • Functional Region
  • Suburban Area
  • Rural Area
  • Computer Science
  • Economics
  • Mathematics


Abstract A micro genetic algorithm with variable population size (VPμGA) 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 (Θ) with a ‘law-of-gravity’ interpretation. The VPμGA evaluates the Θ represented dynamical behaviours over a ‘short’ to ‘long’ term period, which also revisits the urbanisation of Beijing and examines the Θ 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 VPμGA 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.

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