Hyper-heuristics.
Book Chapter
Ross, P. (2005)
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,...
Improving vehicle routing using a customer waiting time colony.
Conference Proceeding
Sa'adah, S., Ross, P., & Paechter, B. (2004)
Improving vehicle routing using a customer waiting time colony. In J. Gottlieb, & G. Raidl (Eds.), Evolutionary Computation in Combinatorial Optimization, 188-198. https://doi.org/10.1007/978-3-540-24652-7_19
In the vehicle routing problem with time windows (VRPTW), there are two main objectives. The primary objective is to reduce the number of vehicles, the secondary one is to min...
Genetic algorithms and timetabling
Book Chapter
Ross, P., Hart, E., & Corne, D. (2003)
Genetic algorithms and timetabling. In A. Ghosh, & K. Tsutsui (Eds.), Advances in Evolutionary Optimisation. Springer. https://doi.org/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-...
Hyper Heuristics: an emerging direction in modern search technology.
Book Chapter
Burke, E., Hart, E., Kendall, G., Newall, J., Ross, P., & Schulenburg, S. (2003)
Hyper Heuristics: an emerging direction in modern search technology. In F. Glover, & G. A. Kochenberger (Eds.), Handbook of MetaHeuristics, 457-474. Springer US. https://doi.org/10.1007/0-306-48056-5_16
Requirements for getting a robot to grow-up
Conference Proceeding
Ross, P., Hart, E., Lawson, A., Webb, A., Prem, E., Poelz, P., & Morgavi, G. (2003)
Requirements for getting a robot to grow-up. In W. Banzhaf, T. Christaller, P. Dittrich, J. T. Kim, & J. Ziegler (Eds.), Advances in Artificial Life 7th European Conference, ECAL 2003, Dortmund, Germany, September 14-17, 2003. Proceedings. , (847-856). https://doi.org/10.1007/978-3-540-39432-7_91
Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process...
Controlling a simulated Khepera with an XCS classifier system with memory.
Conference Proceeding
Webb, A., Hart, E., Ross, P. & Lawson, A. (2003)
Controlling a simulated Khepera with an XCS classifier system with memory. ISBN 9783540200574
Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of act...
A systematic investigation of GA performance on jobshop scheduling problems.
Conference Proceeding
Hart, E., & Ross, P. (2003)
A systematic investigation of GA performance on jobshop scheduling problems. In Real-World Applications of Evolutionary Computing. , (280-289). https://doi.org/10.1007/3-540-45561-2_27
Although there has been a wealth of work reported in the literature on the application of genetic algorithms (GAs) to jobshop scheduling problems, much of it contains some gro...
Routing using evolutionary agents and proactive transitions.
Book
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...
Solving a real world routing problem using multiple evolutionary algorithms.
Conference Proceeding
Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2002)
Solving a real world routing problem using multiple evolutionary algorithms. In Parallel Problem Solving from Nature — PPSN VII. , (871-880). https://doi.org/10.1007/3-540-45712-7_84
This paper investigates the solving of a real world routing problem using evolutionary algorithms embedded within a Multi-agent system (MAS). An architecture for the MAS is pr...
Combining choices of heuristics.
Book
Ross, P., & Hart, E. (2001)
Combining choices of heuristics. In R. Sarker, M. Mohammadian, & X. Yao (Eds.), Evolutionary Optimization, 229-252. Kluwer