Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems (2016)
Presentation / Conference Contribution
Segredo, E., Paechter, B., Hart, E., & Gonz´alez-Vila, C. I. (2016, July). Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems. Presented at IEEE World Congress on Computational Intelligence

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 scheme based on both Fuzzy Logic Controllers (FLCs) and Hyper-heuristics (HHs).... Read More about Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems.

Evaluation of the durability and performance of FBG-based sensors for monitoring moisture in an aggressive gaseous waste sewer environment (2016)
Journal Article
Alwis, L. S. M., Bustamante, H., Bremer, K., Roth, B., Sun, T., & Grattan, K. T. V. (2017). Evaluation of the durability and performance of FBG-based sensors for monitoring moisture in an aggressive gaseous waste sewer environment. Journal of Lightwave Technology, 35(16), 3380-3386. https://doi.org/10.1109/jlt.2016.2593260

Measurements of the rate of corrosion in concrete sewers need to take into consideration the humidity in the environment and thus its accurate measurement becomes critically important. Introducing a novel approach to do so, tailored Fiber Bragg grati... Read More about Evaluation of the durability and performance of FBG-based sensors for monitoring moisture in an aggressive gaseous waste sewer environment.

Analysis of acoustical properties of wood and mode identification by sample scanning in the very near field (2016)
Presentation / Conference Contribution
Pantelić, F., Šumarac Pavlović, D., Mijić, M., & Ridley-Ellis, D. (2016, June). Analysis of acoustical properties of wood and mode identification by sample scanning in the very near field. Presented at 60th Meeting of the Society for Electronics, Telecommunications, Computers, Automatic Control and Nuclear Engineering ETRAN

It is possible to achieve a good visualization of vibration modes by microphone scanning of a vibration excited sample of wood in very near field. The experimental settings, shown in this paper, were used for wood properties characterization and obse... Read More about Analysis of acoustical properties of wood and mode identification by sample scanning in the very near field.