Output details
11 - Computer Science and Informatics
University of York
Article title
An empirical study of hyperheuristics for managing very large sets of low level heuristics
Type
D - Journal article
Title of journal
Journal of the operational research society
Article number
-
Volume number
63
Issue number
3
First page of article
392
ISSN of journal
0160-5682
Year of publication
2012
Number of additional authors
4
Additional information
<22>The paper is the culmination of 2 industrial PhD projects with Trimble MRM (formerly part of BT) yielding a new model for mobile workforce scheduling based on "skills" and a new way of creating/managing hyperheuristics. Part of the work (the problem instance generator) created for the paper was commercialised and sold to Trimble MRM. PhD student Remde went on to further influential work using hyperheuristics with SME Gaist Ltd. (KTP project), resulting in massive growth for the company.
Interdisciplinary
-
Cross-referral requested
-
Research group
G - Artificial Intelligence
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
