A planning method combining rule-bases and optimization algorithms for transportation network

Author

Abe, K. ; Tsukiyama, M. ; Fukuda, T.

Author_Institution

Mitsubishi Electric Corp., Hyogo, Japan

fYear

1992

fDate

9-13 Nov 1992

Firstpage

902

Abstract

An efficient method for transportation network planning is proposed, which combines rule bases and optimization algorithms. The knowledge-based subsystem describes the problem constraints and selects feasible solution candidates. Such a space of feasible solutions is searched by the optimization algorithm. Through an application to a real-world problem, the authors show that the proposed method makes it possible to get near-optimal solutions for practical large-scale problems in a short time

Keywords

knowledge based systems; large-scale systems; optimisation; traffic computer control; transportation; application; knowledge-based subsystem; large-scale problems; optimal control; optimization algorithms; planning; problem constraints; rule bases; traffic control; transportation network; Cities and towns; Costs; Job shop scheduling; Knowledge engineering; Large-scale systems; Mathematical programming; Optimization methods; Routing; Transportation; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0582-5

Type

conf

DOI

10.1109/IECON.1992.254485

Filename

254485