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...
Exploiting the analogy between immunology and sparse distributed memory.
Conference Proceeding
Hart, E., & Ross, P. (2001)
Exploiting the analogy between immunology and sparse distributed memory. In J. Timmis, & P. J. Bentley (Eds.), ICARIS 2002 : 1st International Conference on Artificial Immune Systems, 59-67
The relationship between immunological memory and a class of associative memories known as sparse distributed memories (SDM) is well known. This paper proposes a new model for...
Clustering Moving Data with a Modified Immune Algorithm
Conference Proceeding
Hart, E., & Ross, P. (2001)
Clustering Moving Data with a Modified Immune Algorithm. In E. Boers (Ed.), Applications of Evolutionary Computing, 394-403. https://doi.org/10.1007/3-540-45365-2_41
In this paper we present a prototype of a new model for performing clustering in large, non-static databases. Although many machine learning algorithms for data clustering hav...
Enhancing the performance of a GA through visualisation.
Conference Proceeding
Hart, E., & Ross, P. (1999)
Enhancing the performance of a GA through visualisation. In Proceedings of GECCO-2000
This article describes a new tool for visualising genetic algorithms, (GAs) which is designed in order to allow the implicit mechanisms
of the GA | i.e. crossover and mutation...
An immune system approach to scheduling in changing environments.
Conference Proceeding
Hart, E., & Ross, P. (1998)
An immune system approach to scheduling in changing environments. In W. Banzhaf, J. M. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, & R. E. Smith (Eds.), GECCO-99 : proceedings of the genetic and evolutionary computation conference. Volume 2, 1559-1566
This paper describes the application of an artificial immune system, (AIS), model to a scheduling application, in which sudden changes in the scheduling environment require th...
An adaptive mutation scheme for a penalty-based graph-colouring GA.
Conference Proceeding
Ross, P., & Hart, E. (1998)
An adaptive mutation scheme for a penalty-based graph-colouring GA. In A. E. Eiben, T. Back, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature V, 795-802. https://doi.org/10.1007/BFb0056921
The folklore of evolutionary algorithms still seems to contain some gross over-generalistions, such as that direct encodings are inferior to indirect ones, that penalty-functi...
Producing robust schedules via an artificial immune system.
Conference Proceeding
Hart, E., Ross, P., & Nelson, J. (1998)
Producing robust schedules via an artificial immune system. In Proceedings of International Conference on Evolutionary Computing, 464-469. https://doi.org/10.1109/ICEC.1998.699852
This paper describes an artificial immune system (AIS) approach
to producing robust schedules for a dynamic jobshop
scheduling problem in which jobs arrive continually,
and th...
A heuristic combination method for solving job-shop scheduling problems.
Conference Proceeding
Hart, E., & Ross, P. (1998)
A heuristic combination method for solving job-shop scheduling problems. In A. E. Eiben, T. Back, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature V, 845-854. https://doi.org/10.1007/BFb0056926
This paper describes a heuristic combination based genetic algorithm, (GA), for tackling dynamic job-shop scheduling problems. Our approach is novel in that the genome encodes...