Application of the Grouping Genetic Algorithm to University Course Timetabling
Conference Proceeding
Lewis, R., Lewis, R. M. R., & Paechter, B. (2005)
Application of the Grouping Genetic Algorithm to University Course Timetabling. In J. Gottlieb, & G. Raidl (Eds.), Evolutionary Computation in Combinatorial Optimization, 144-153. https://doi.org/10.1007/978-3-540-31996-2_14
University Course Timetabling-Problems (UCTPs) involve the allocation of resources (such as rooms and timeslots) to all the events of a university, satisfying a set of hard-co...
An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case.
Conference Proceeding
Lewis, R., & Paechter, B. (2005)
An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case. In 2005 IEEE Congress on Evolutionary Computation, 2856-2863. https://doi.org/10.1109/cec.2005.1555053
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and...
A distributed resource evolutionary algorithm machine.
Conference Proceeding
Paechter, B., Baeck, T., Schoenauer, M., Eiben, A. E., Merelo Guervós, J. J., Sebag, M., & Fogarty, T. C. (2002)
A distributed resource evolutionary algorithm machine. In Proceedings of the 2000 Congress on Evolutionary Computation, 2000, 951-958. https://doi.org/10.1109/CEC.2000.870746
This paper describes a project funded by the
European Commission’ which seeks to provide the
technology and software infrastructure necessary to
support the next generation of...
A local search for the timetabling problem.
Conference Proceeding
Rossi-Doria, O., Blum, C., Knowles, J., Sampels, M., Socha, K., & Paechter, B. (2001)
A local search for the timetabling problem. In E. Burke, & P. Causmaecker (Eds.), Proceedings of the Conference on the Practice and Theory of Automated Timetabling (PATAT 2002), 124-127
This work is part of the Metaheuristic Network, a European Commission project that seeks to empirically compare the performance of various metaheuristics on different combinat...
Solving CSPs with evolutionary algorithms using self-adaptive constraint weights.
Conference Proceeding
Eiben, A. E., Jansen, B., Michalewicz, Z., & Paechter, B. (2000)
Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. In D. Whitley (Ed.), GECCO-2000 : proceedings of the genetic and evolutionary computation conference, 128-134
This paper examines evolutionary algorithms (EAs) extended by various penalty-based approaches to solve constraint satisfaction
problems (CSPs). In some approaches, the penalt...
Two evolutionary approaches to cross-clustering problems.
Conference Proceeding
Luchian, H., Paechter, B., Radulescu, V., & Luchian, S. (1999)
Two evolutionary approaches to cross-clustering problems. In Proceedings of the 1999 Congress on Evolutionary Computation, (860-870). https://doi.org/10.1109/CEC.1999.782514
Cross-clustering asks for a Boolean matrix to
be brought to a quasi-canonical form. The problem has
many applications in image processing, circuit design,
archaeology, ecology...
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...
A general model for the answer-pertubation techniques.
Conference Proceeding
Stamate, D., Luchian, H., & Paechter, B. (1994)
A general model for the answer-pertubation techniques. In Proceedings of the 7th International Conference on Scientific and Statistical Database Management Systems, 90-96. https://doi.org/10.1109/SSDM.1994.336958
Answer-perturbation techniques for the protection
of statistical databases were introduced in [7]; they
are flexible (perturbation kept under control),
modular (do not interac...