Ross, P. (2004). Hyper-heuristics. In E. Burke, & G. Kendall (Eds.), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, 529-556. Springer-Verlag
This chapter introduces and overviews an emerging methodology in search and optimisation. One of the key aims of these new approaches, which have been termed hyper-heuristics,...
Ross, P., Hart, E., & Corne, D. (2002). Genetic algorithms and timetabling. In A. Ghosh, & K. Tsutsui (Eds.), Advances in Evolutionary OptimisationSpringer Verlag. doi:10.1007/978-3-642-18965-4_30
Genetic algorithms can be used to search very large spaces, and it would seem natural to use them for tackling the nastier kinds of timetabling problem. We completed an EPSRC-...
Burke, E., Hart, E., Kendall, G., Newall, J., Ross, P., & Schulenburg, S. (2002). Hyper Heuristics: an emerging direction in modern search technology. In F. Glover, & G. A. Kochenberger (Eds.), Handbook of MetaHeuristics, 457-474. Springer US. doi:10.1007/0-306-48056-5_16
Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2002). Routing using evolutionary agents and proactive transitions. In Applications of Evolutionary Computing, 696-705. Springer-Verlag
The authors have previously introduced the concept of building a delivery network using an agent-based system. The delivery networks are built in response to a real-world prob...
Ross, P., & Hart, E. (2001). Combining choices of heuristics. In R. Sarker, M. Mohammadian, & X. Yao (Eds.), Evolutionary Optimization, 229-252. Kluwer
Hart, E., & Ross, P. (1998). The evolution and analysis of a potential antibody library for use in job-shop scheduling. In D. Corne, M. Dorigo, F. Glover, D. Dasgupta, P. Moscato, R. Poli, & K. V. Price (Eds.), New Ideas in Optimisation, 185-202. McGraw-Hill