Computer Science ›› 2013, Vol. 40 ›› Issue (8): 210-213.

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Improved Artificial Bee Colony Algorithm and its Application in CBD Location Planing

ZHANG Peng,LIU Hong and LIU Peng   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Central Business District is the functional core of the city which reflects its modernization.The development of CBD depends much on the reasonableness of location planning.Location planning for CBD by manual analysis has low efficiency and accuracy of data.Using intelligent optimization algorithm for location planning can not only reduce the costing,but also improve efficiency and accuracy in construction of CBD.Aiming at this question,this paper improved original ABC algorithm and proposed a new method(NABC)based on evaluation of accessibility.Microscopic simulation experiment was made for CBD location planning by taking advantage of this method.This model overcomes the defect of convergence speed compared with original algorithm and improves the intelligence and accuracy of CBD construction according to the simulation experiment.

Key words: Center business district,Swarm intelligence,Artificial bee colony algorithm,Employed foragers,Accessibility

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