Journal of Intelligent Systems 24 (4):437-448 (2015)

Authors
Abstract
This work proposes a hybrid heuristic algorithm to solve the bus rapid transit intelligent scheduling problem, which is a combination of the genetic algorithm, simulated annealing algorithm, and fitness scaling method. The simulated annealing algorithm can increase the local search ability of the genetic algorithm, so as to accelerate its convergence speed. Fitness scaling can reduce the differences between individuals in the early stage of the algorithm, to prevent the genetic algorithm from falling into a local optimum through increasing the diversity of the population. It can also increase the selection probability of outstanding individuals, and speed up the convergence at the late stage of the algorithm, by increasing the differences between individuals. Using real operational data of BRT Line 1 in a city of Zhejiang province, the new scheduling scheme can be obtained through algorithm simulation. The passengers’ total waiting time in a single way will be reduced by 40 h on average under the same operating cost compared with the original schedule scheme in a day.
Keywords No keywords specified (fix it)
Categories No categories specified
(categorize this paper)
ISBN(s)
DOI 10.1515/jisys-2014-0134
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 65,599
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Improved FCM Algorithm Based on K-Means and Granular Computing.Zhuang Zhi Yan & Wei Jia Lu - 2015 - Journal of Intelligent Systems 24 (2):215-222.
Improving the Generalization Capability of Hybrid Immune Detector Maturation Algorithm.Jungan Chen, Feng Liang & Zhaoxi Fang - 2012 - In Emilio Corchado, Vaclav Snasel, Ajith Abraham, Michał Woźniak, Manuel Grana & Sung-Bae Cho (eds.), Hybrid Artificial Intelligent Systems. Springer. pp. 298--308.

Analytics

Added to PP index
2017-01-11

Total views
15 ( #683,020 of 2,462,240 )

Recent downloads (6 months)
1 ( #449,178 of 2,462,240 )

How can I increase my downloads?

Downloads

My notes