Graham Kendall
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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

I am a member of the Automated Scheduling, Optimisation and Planning Research Group
http://bit.ly/eIQ5XC
Can ants play chess? Yes they can!
http://bit.ly/1yW3UhX

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Transportation & Logistics: Dissertation Prize 2013

Publication(s)

Evolving Reusable 3D Packing Heuristics with Genetic Programming.
http://bit.ly/e75y7F
Using an Evolutionary Algorithm for the Tuning of a Chess Evaluation Function Based on a Dynamic Boundary Strategy
http://bit.ly/hsgyZ8
The Importance of Look-Ahead Depth in Evolutionary Checkers
http://bit.ly/1bh6fGH
Evaluating the performance of a EuroDivisia index using artificial intelligence techniques
http://bit.ly/eJvwpG

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} }