Revisiting the Central and Peripheral Immune System
McEwan, C., Hart, E., & Paechter, B. (2006)
Revisiting the Central and Peripheral Immune System. In Artificial Immune Systems. ICARIS 2007, 240-251. doi:10.1007/978-3-540-73922-7_21
The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applicat...
Evaluation of a genetic representation for outline shapes
Lapok, P., Lawson, A., & Paechter, B. (2017)
Evaluation of a genetic representation for outline shapes. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1419-1422). https://doi.org/10.1145/3067695.3082501
This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real...
The continuous equilibrium optimal network design problem: a genetic approach.
Cree, N. D., Maher, M., & Paechter, B. (1999)
The continuous equilibrium optimal network design problem: a genetic approach. In M. G. H. Bell (Ed.), Transportation Networks: Recent Methodological advances, 163-174
A genetic algorithm (GA) program for providing a solution to the Continuous Equilibrium Network Design Problem (NDP) is introduced following a general discussion of the networ...
Peer-to-peer networks for scalable grid landscapes in social agent simulations.
Craenen, B. G. W., & Paechter, B. (2005)
Peer-to-peer networks for scalable grid landscapes in social agent simulations. In Proceedings of the Artificial Intelligence and Social Behaviour Convention (AISB) 2005, 64-71
Recently, peer-to-peer networks have been proposed as the underlying architecture of large scale distributed social agent simulations. A number of problems arise when grid lan...
Heaven and Hell: visions for pervasive adaptation
Paechter, B., Pitt, J., Serbedzija, N., Michael, K., Willies, J., & Helgason, I. (2011)
Heaven and Hell: visions for pervasive adaptation. Procedia computer science, 7, 81-82. https://doi.org/10.1016/j.procs.2011.12.025
With everyday objects becoming increasingly smart and the “info-sphere” being enriched with nano-sensors and networked to computationally-enabled devices and services, the way...
Application of the Grouping Genetic Algorithm to University Course Timetabling
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...
Real-world applications of evolutionary computing
Cagnoni, S., Poli, R., Smith, G. D., Corne, D., Oates, M., Hart, E., …Fogarty, T. C. (2000)
Real-world applications of evolutionary computing. In Proceedings of EvoWorkshops 2000
This book constitutes the refereed proceedings of six workshops on evolutionary computation held concurrently as EvoWorkshops 2000 in Edinburgh, Scotland, UK, in April 2000.
2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms
Lapok, P., Lawson, A., & Paechter, B. (2018)
2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms. In H. Rodrigues, J. Herskovits, C. Mota Soares, A. Araújo, J. Guedes, J. Folgado, …J. Madeira (Eds.), EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization, 926-937. doi:10.1007/978-3-319-97773-7_80
In this paper, we investigate the ability of genetic representation methods to describe two-dimensional outline shapes, in order to use them in a generative design system. A s...
PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation
de Toro Negro, F., Ortega, J., Ros, E., Mota, S., Paechter, B. & Martin, J. M. (2003)
PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation. Parallel Computing. 30, 551-816. doi:10.1016/j.parco.2003.12.012. ISSN 0167-8191
This paper deals with the study of the cooperation between parallel processing and evolutionary computation to obtain efficient procedures for solving multiobjective optimisat...
Maintaining connectivity in a scaleable and robust distributed environment.
Jelasity, M., Preuss, M., Van Steen, M. & Paechter, B. (2001)
Maintaining connectivity in a scaleable and robust distributed environment. Cluster Computing and the Grid. , 389-394. doi:10.1109/CCGRID.2002.1017166
This paper describes a novel peer-to-peer (P2P) environment for running distributed Java applications on the Internet. The possible application areas include simple load balan...