Work

Parameters Sensitive Analyses for Using Genetic Algorithm to Solve Continuous Network Design Problems

Year: 2012

Type: conference-paper

Abstract: In this paper, the authors will discuss the parameters' settings using genetic algorithm to solve continuous network design problems (CNDP). The CNDP is formulated as a bi-level programming model. A sensitive analysis method, one-at-a-time design, is used to analyze the effects of the parameters. The analysis demonstrated that the setting of population size has clear effects on the solution; the effects of crossover probability and mutation probability are less than the effects of their combinations. The fields of these parameters are also given in this paper, which avoid to set them blindly in algorithm designs.

Source: Procedia - Social and Behavioral Sciences

DOI: 10.1016/j.sbspro.2012.04.117

Authors: Meng Xu, Jin Yang, Ziyou Gao

Institution: Beijing Jiaotong University

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Program for New Century Excellent Talents in University

OpenAlex ID: W2013082005

FWCI: 1.202

Cites: 27

Cited by: 11

Related to: 10