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...
Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things
Conference Proceeding
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Paechter, B., & Qasem, M. (2016)
Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things. In Wireless Communications and Networking Conference (WCNC), 2016 IEEE (1-6). https://doi.org/10.1109/WCNC.2016.7564654
Constrained Low-power and Lossy networks (LLNs) represent the building block for the ever-growing Internet of Things (IoT) that deploy the Routing Protocol for Low Power and L...
Computing the State of Specknets: further analysis of an innate immune-inspired model.
Conference Proceeding
Davoudani, D., Hart, E., & Paechter, B. (2008)
Computing the State of Specknets: further analysis of an innate immune-inspired model. In P. Bentley, D. Lee, & S. Jung (Eds.), Artificial Immune Systems, 7th International Conference, ICARIS 2008, Phuket, Thailand, August 2008, Proceedings, 95-106. https://doi.org/10.1007/978-3-540-85072-4
Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their gr...
Evaluation of a genetic representation for outline shapes
Conference Proceeding
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...
Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems
Conference Proceeding
Segredo, E., Paechter, B., Hart, E., & Gonz´alez-Vila, C. I. (2016)
Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems. In 2016 IEEE Congress on Evolutionary Computation (CEC)https://doi.org/10.1109/CEC.2016.7743969
In order to address the difficult issue of parameter setting within a diversity-based Multi-objective Evolutionary Algorithm (MOEA), we recently proposed a hybrid control sche...
Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes
Journal Article
Ferrández, M. R., Redondo, J. L., Ivorra, B., Ramos, A. M., Ortigosa, P. M., & Paechter, B. (2020)
Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes. Engineering Optimization, 52(5), 896-913. https://doi.org/10.1080/0305215x.2019.1618289
This work focuses on the optimization of some high-pressure and temperature food treatments. In some cases, when dealing with real-life multi-objective optimization problems, ...
The continuous equilibrium optimal network design problem: a genetic approach.
Conference Proceeding
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...
Empirical Validation of a Gossiping Communication Mechanism for Parallel EAs
Conference Proceeding
Laredo, J. L. J., Castillo, P. A., Paechter, B., Mora, A. M., Alfaro-Cid, E., Esparcia-Alcazar, A. I., & Merelo, J. J. (2007)
Empirical Validation of a Gossiping Communication Mechanism for Parallel EAs. In Applications of Evolutionary Computing: EvoWorkshops 2007. , (129-136
The development of Peer-to-Peer (P2P) systems is still a challenge due to the huge number of factors involved. Validation of these systems must be defined in terms of describi...
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...
Optimising an Evolutionary Algorithm for Scheduling
Conference Proceeding
Urquhart, N., Chisholm, K., & Paechter, B. (2000)
Optimising an Evolutionary Algorithm for Scheduling. In Real-World Applications of Evolutionary Computing: EvoWorkshops 2000. , (307-318
This paper examines two techniques for setting the parameters of an evolutionary Algorithm (EA). The example EA used for test purposes undertakes a simple scheduling problem. ...