Cuckoo Search Algorithm and its Application on School Bus Problem

Xiao Long Ma; Yue Guang Li

doi:10.4028/www.scientific.net/AMM.687-691.1363

Paper Titles

The Predication of the Adhesion Rate Based on NARX Model
p.1346

Research on Spectral Clustering
p.1350

Modified Quadrature Method for Solving BIEs of Steady-State Anisotropic Heat Conduction Problems
p.1354

Learning Algorithm for Fuzzy Perceptron with Max-Product Composition
p.1359

Cuckoo Search Algorithm and its Application on School Bus Problem
p.1363

An Improved Harmony Search Algorithm with Application
p.1367

Fitting Spherical Surface and Evaluating Sphericity Error Based on the Minimum Zone Principle
p.1373

One Fusion Algorithm of Equipment Fault Prediction Based on Rough Set Theory and Grey Model
p.1377

An Improved Particle Swarm Optimization Algorithm for Dynamic Power Allocation Problem
p.1380

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Cuckoo Search Algorithm and its Application on...

Cuckoo Search Algorithm and its Application on School Bus Problem

Abstract:

In this paper, discusses the school bus problem, given the mathematical model of route optimization, put forward an improved cuckoo search algorithm. Finally, take school bus routes running problem of Gansu Normal College for Nationalities as an example, the algorithm was experimented and the experimental results show that the algorithm to be successful.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1363-1366

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1363

Citation:

Cite this paper

Online since:

November 2014

Authors:

Xiao Long Ma*, Yue Guang Li

Keywords:

Cuckoo Search Algorithm, Gansu Normal University for Nationalities, Intelligent Algorithm, School Bus Problem

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Bodin L, Golden B, Assad A, Ball M. Routing and scheduling of vehicles and crews: the state of the art.

Google Scholar

[2] Wang Shouyang, Zhao Qiuhong, Xia Guoping. Research on combined location-routing problems in integrated logistics systems[J]. Journal of manegement sciences, 6, 69-75(2000).

Google Scholar

[3] Chan Y, Carter W B, Burnes M D. A multiple-depot, multiple-vehicle, location-routing problem with stochastically processed demands[J]. Computer & Operation Research, 28, 803-826(1999).

DOI: 10.1016/s0305-0548(00)00009-5

Google Scholar

[4] Tuzun D, Burke L I. A two-phase tabu search approach to the location routing problem[J]. European Journal of Operational Research, 116, 87-99(1999).

DOI: 10.1016/s0377-2217(98)00107-6

Google Scholar

[5] Li Minqiang, Kou Jisong, Li Dan. The basic theory of genetic algorithm and its application[M]. Beijing: Science press, 1-47(2002).

Google Scholar

[6] Yang X S, Deb S. Cuckoo search via levy flights [C]. /Proceedings of world congress on nature & Biologically inspired computing, India IEEE Publications 2009: 210-214.

DOI: 10.1109/nabic.2009.5393690

Google Scholar

[7] Jin Lixia, Tang Huanwen, Li Bin et al. A kind of simulated annealing algorithm and its convergence analysis[J]. Computational mathematics, 2005, 27 (1): 19- 30.

Google Scholar