Extensions to a memetic timetabling system.
Conference Proceeding
Paechter, B., Cumming, A., Norman, M. G., & Luchian, H. (1996)
Extensions to a memetic timetabling system. In R. Burke (Ed.), Practice and Theory of Automated Timetabling, 251-265. https://doi.org/10.1007/3-540-61794-9_64
This paper describes work in progress to increase the performance of a memetic timetabling system. The features looked at are two directed mutation operators, targeted mutatio...
This pervasive day: creative Interactive methods for encouraging public engagement with FET research
Journal Article
Helgason, I., Bradley, J., Egan, C., Paechter, B., & Hart, E. (2011)
This pervasive day: creative Interactive methods for encouraging public engagement with FET research. Procedia Computer Science, 7, 207-208. https://doi.org/10.1016/j.procs.2011.09.028
This paper describes a case study of a programme of interactive public engagement activities presented by the PerAda Co-ordination Action project (FET Proactive Initiative on ...
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm
Conference Proceeding
Hart, E., Steyven, A. S. W., & Paechter, B. (2018)
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. In GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference, (101-108). https://doi.org/10.1145/3205455.3205481
The presence of functionality diversity within a group has been demonstrated to lead to greater robustness, higher performance and increased problem-solving ability in a broad...
The Cost of Communication: Environmental Pressure and Survivability in mEDEA
Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2015)
The Cost of Communication: Environmental Pressure and Survivability in mEDEA. In Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15, 1239-1240. doi:10.1145/2739482.2768489
We augment the mEDEA algorithm to explicitly account for
the costs of communication between robots. Experimental
results show that adding a costs for communication exerts
envi...
Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation
Conference Proceeding
Segredo, E., Lalla-Ruiz, E., Hart, E., Paechter, B., & Voß, S. (2016)
Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation. In P. Festa, M. Sellmann, & J. Vanschoren (Eds.), Learning and Intelligent Optimization: 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016 (296-305). https://doi.org/10.1007/978-3-319-50349-3_25
Choosing the correct algorithm to solve a problem still remains an issue 40 years after the Algorithm Selection Problem was first posed. Here we propose a hyper-heuristic whic...
Two solutions to the general timetable problem using evolutionary algorithms.
Conference Proceeding
Paechter, B., Luchian, H., Cumming, A., & Petriuc, M. (1994)
Two solutions to the general timetable problem using evolutionary algorithms. In Proceedings of the IEEE World Congress in Computational Intelligence, (300-305). https://doi.org/10.1109/ICEC.1994.349935
The general timetable problem, which involves the placing
of events requiring limited resources into timeslots,
has been approached in many different ways. This paper
describe...
On the comparison of initialisation strategies in differential evolution for large scale optimisation
Journal Article
Segredo, E., Paechter, B., Segura, C., & González-Vila, C. I. (2018)
On the comparison of initialisation strategies in differential evolution for large scale optimisation. Optimization Letters, 12(1), 221-234. https://doi.org/10.1007/s11590-017-1107-z
Differential Evolution (DE) has shown to be a promising global opimisation solver for continuous problems, even for those with a large dimensionality. Different previous works...
Improving a lecture timetabling system for university wide use
Conference Proceeding
Paechter, B., Rankin, B., & Cumming, A. (1998)
Improving a lecture timetabling system for university wide use. In Practice and Theory of Automated Timetabling II. , (156-165). https://doi.org/10.1007/BFb0055887
During the academic year 1996/97 the authors were commissioned by their institution to produce an automated timetabling system for use by all departments within the Faculty of...
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm
Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2016)
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. In Parallel Problem Solving from Nature – PPSN XIV; Lecture Notes in Computer Science. , (921-931). https://doi.org/10.1007/978-3-319-45823-6_86
It is well known that in open-ended evolution, the nature of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear e...
Timetabling the classes of an entire university with an evolutionary algorithm.
Conference Proceeding
Paechter, B., Rankin, B., Cumming, A., & Fogarty, T. C. (1998)
Timetabling the classes of an entire university with an evolutionary algorithm. In T. Beck, & M. Schoenauer (Eds.), Parallel Problem Solving from Nature - PPSN V. , (865-874). https://doi.org/10.1007/BFb0056928
This paper describes extensions to an evolutionary algorithm that timetables classes for an entire University. A new method of dealing with multi-objectives is described along...