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

Volume

5

fYear

2010

fDate

11-14 July 2010

Firstpage

2193

Lastpage

2197

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-6526-2

Type

conf

DOI

10.1109/ICMLC.2010.5580632

Filename

5580632