1 Department of Electrical Engineering, Technical University of Denmark2 Center for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark3 Chengdu University of Technology4 Aix-Marseille University5 Chinese University of Hong Kong6 Chinese Academy of Sciences7 Chengdu University of Technology8 Chinese University of Hong Kong
A spatial approach that incorporates three economic components and one environmental factor has been developed to evaluate the dynamic behaviours of the rural areas at a provincial level. An artificial fish swarm algorithm with variable population size (AFSAVP) is proposed for the spatial problem. A functional region affecting index (Θ) is employed as a fitness function for the AFSAVP driven optimisation, in which a gross domestic product (GDP) based method is utilised to estimate the CO2 emission of all provinces. A simulation for the administrative provinces of China has been implemented, and the results have shown that the modelling method based on GDP data can assess the spatial dynamic behaviours and can be taken as an operational tool for the policy planners.
Entropy, 2013, Vol 15, Issue 1, p. 10-31
Spatial analysis; Functional region; Dynamic behaviours; Social behaviours; Carbon dioxide emission; Public data; Gross domestic product; Swarm algorithm; Artificial fish