Title :
An optimization method for public traffic line network based on entropy weight and multi-objective programming
Author :
Li, Dong-mei ; Li, Fa-chao ; Liu, Bin
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
The optimization method for public traffic line network is studied according to the feature of line network optimization problem. By using system science theory, seven objective functions and three constraints of line network optimization are established. An ideal solution decision method based on entropy weight and multi-objective programming is proposed. The method is simple and easy to use. By using the method combining expert judgment with entropy weight, the indexes weights are determined, which realizes the unity of subjectivity and objectivity.
Keywords :
entropy; expert systems; optimisation; road traffic; transportation; entropy weight; expert judgment; index weight; line network optimization problem; multiobjective programming; optimization method; public traffic line network; solution decision method; system science theory; Cities and towns; Cybernetics; Economics; Entropy; Indexes; Machine learning; Optimization; Entropy weight; Ideal solution decision; Multi-objective; Optimization; Public traffic line network;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580632
