Graham Kendall
Various Images

Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

A Conversation article celebrating Pi
http://bit.ly/1DXuXbV
How to teach Deep Blue to play poker and deliver groceries
http://bit.ly/1DXGeZD

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Vehicle Routing Datasets

Publication(s)

The Application of a Dendritic Cell Algorithm to a Robotic Classifier
http://bit.ly/hTMQ5K
Scheduling in sports: An annotated bibliography
http://bit.ly/eCfi42
Managing University-Industry Collaborations in Malaysia by Examining its Critical Success Factors: A Dyadic Approach
http://bit.ly/2df4YZ5
Alternative hyper-heuristic strategies for multi-method global optimization
http://bit.ly/g1xcMp

Graham Kendall: Details of Requested Publication


Citation

Bai, R; Kendall, G and Li, J An efficient guided local search approach for service network design problem with asset balancing. In In proceedings of the 2010 International Conference on Logistics Systems and Intelligent Management, pages 110-115, 2010.


Abstract

Service network design is a core problem for logistic transportation planning. It involves determination of the most cost-effective transportation network, package flow distribution as well as balanced vehicle schedules. In this paper, we propose an efficient guided local search approach metaheuristic for this problem, which is able to produce competitive results with much less computational time than those proposed in the literature.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1109/ICLSIM.2010.5461456 You can link directly to the original paper, via the doi, from here

What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information



URL

This pubication does not have a URL associated with it.

The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.


Bibtex

@INPROCEEDINGS{bkl2010, author = {R. Bai and G. Kendall and J. Li},
title = {An efficient guided local search approach for service network design problem with asset balancing},
booktitle = {In proceedings of the 2010 International Conference on Logistics Systems and Intelligent Management},
year = {2010},
pages = {110--115},
month = {9-10 Jan. 2010},
organization = {Harbin, China},
abstract = {Service network design is a core problem for logistic transportation planning. It involves determination of the most cost-effective transportation network, package flow distribution as well as balanced vehicle schedules. In this paper, we propose an efficient guided local search approach metaheuristic for this problem, which is able to produce competitive results with much less computational time than those proposed in the literature.},
doi = {10.1109/ICLSIM.2010.5461456},
keywords = {Logistics, Freight Transportation, Guided Local Search, Linear Programming},
owner = {gxk},
timestamp = {2010.12.11},
webpdf = {http://www.graham-kendall.com/papers/bkl2010.pdf} }