Trosolwg
Deterministic and Stochastic Optimisation, The Bees Algorithm, Hill Climbing, Simulated Annealing,Genetic Algorithm, Multi Objective Optimisation,Combinatorial Optimisation, Data Mining, Artificial Neural Network (ANN), Fuzzy Logic, Rough Set Theory, Multi Agent Systems, Building Energy Management,Sustainable and Renewable Energy, Wireless communication and Control, Supply Chain Management, Smart Appliance Scheduling, Single Machine Scheduling, Job-Shop Scheduling, MATLAB, Image Processing, Mesh Processing, VTK, and Robotics and Automation Systems.
Energy and Environment
Member of International Advisory Board of International Journal of Energy Optimization and Engineering (IJEOE),
Member of IEEE Robotics and Automation Society,
Member of IEEE Power & Energy Society,
Member of IEEE Systems, Man, and Cybernetics Society.
Cyhoeddiadau
2019
- Howell, S. K., Wicaksono, H., Yuce, B., McGlinn, K. and Rezgui, Y. 2019. User centered neuro-fuzzy energy management through semantic-based optimization. IEEE Transactions on Cybernetics 49(9), pp. 3278-3292. (10.1109/TCYB.2018.2839700)
2018
- Petri, I., Yuce, B., Kwan, A. and Rezgui, Y. 2018. Cognitive based decision support for water management and catchment regulation. IFIP Advances in Information and Communication Technology 534, pp. 467-477. (10.1007/978-3-319-99127-6_40)
2017
- McGlinn, K., Yuce, B., Wicaksono, H., Howell, S. and Rezgui, Y. 2017. Usability evaluation of a web-based tool for supporting holistic building energy management. Automation in Construction 84, pp. 154-165. (10.1016/j.autcon.2017.08.033)
- Yuce, B. and Rezgui, Y. 2017. An ANN-GA semantic rule-based system to reduce the gap between predicted and actual energy consumption in buildings. IEEE Transactions on Automation Science and Engineering 14(3), pp. 1351-1363. (10.1109/TASE.2015.2490141)
- Yuce, B., Mourshed, M. and Rezgui, Y. 2017. A smart forecasting approach to district energy management. Energies 10(8), article number: 1073. (10.3390/en10081073)
- Yuce, B., Mourshed, M. and Rezgui, Y. 2017. An ANN-based energy forecasting framework for the district level smart grids. In: Hu, J. et al. eds. Smart Grid Inspired Future Technologies., Vol. 175. [Smart Grid Inspired Future Technologies]. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Springer International Publishing, pp. 107-117., (10.1007/978-3-319-47729-9_12)
2016
- Hippolyte, J., Howell, S., Yuce, B., Mourshed, M., Sleiman, H. A., Vinyals, M. and Vanhee, L. 2016. Ontology-based demand-side flexibility management in smart grids using a multi-agent system. Presented at: 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12-15 Sept. 2016Smart Cities Conference (ISC2), 2016 IEEE International. IEEE, (10.1109/ISC2.2016.7580828)
- Yuce, B., Mourshed, M., Rana, O. F. and Rezgui, Y. 2016. Preserving prosumer privacy in a district level smart grid. Presented at: 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12-15 September 2016Smart Cities Conference (ISC2), 2016 IEEE International. IEEE pp. -., (10.1109/ISC2.2016.7580829)
- Hippolyte, J., Howell, S., Yuce, B., Mourshed, M., Sleiman, H., Vinyals, M. and Vanhée, L. 2016. Ontology-based demand-side flexibility management in smart grids using a multi-agent system. Presented at: 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12-15 September 2016Smart Cities Conference (ISC2), 2016 IEEE International. IEEE, (10.1109/ISC2.2016.7580828)
- Martino, G., Yuce, B., Iannone, R. and Packianather, M. S. 2016. Optimisation of the replenishment problem in the fashion retail industry using Tabu-Bees algorithm. IFAC-PapersOnLine 49(12), pp. 1685-1690. (10.1016/j.ifacol.2016.07.823)
- Ahmad, M., Mourshed, M., Yuce, B. and Rezgui, Y. 2016. Computational intelligence techniques for HVAC systems: a review. Building Simulation 9(4), pp. 359-398. (10.1007/s12273-016-0285-4)
- Yuce, B., Mourshed, M. and Rezgui, Y. 2016. An ANN-based energy forecasting framework for the district level smart grids. Presented at: SmartGIFT 2016 - 1st EAI International Conference on Smart Grid Inspired Future Technologies, Liverpool, UK, 19-20 May 2016. EAI
- Petri, I., Li, H., Rezgui, Y., Yang, C., Yuce, B. and Jayan, B. 2016. A HPC based cloud model for real-time energy optimisation. Enterprise Information Systems 10(1), pp. 108-128. (10.1080/17517575.2014.919053)
- Yuce, B., Rezgui, Y. and Mourshed, M. 2016. ANN-GA smart appliance scheduling for optimized energy management in the domestic sector. Energy and Buildings 111, pp. 311-325. (10.1016/j.enbuild.2015.11.017)
- Yuce, B. and Mastrocinque, E. 2016. A hybrid approach using the Bees Algorithm and Fuzzy-AHP for supplier selection. In: Samui, P. ed. Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering. IGI Global, pp. 171-195., (10.4018/978-1-4666-9479-8.ch007)
- Yuce, B. and Mastrocinque, E. 2016. Supply chain network design using an enhanced hybrid swarm-based optimization algorithm. In: Vasant, P., Weber, G. and Dieu, V. N. eds. Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics. IGI Global, pp. 95-113., (10.4018/978-1-4666-9644-0.ch003)
2015
- Yuce, B., Rezgui, Y. and Howell, S. K. 2015. ANN-genetic algorithm-based rule generation for holistic energy management in public buildings. Presented at: 10th European Conference on Product and Process Modelling, Vienna, Austria, 17-19 September 2014 Presented at Mahdavi, A., Martens, B. and Scherer, R. J. eds.eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2014. Leiden, The Netherlands: CRC Press/Balkema pp. 401-408., (10.1201/b17396-68)
- Yuce, B., Pham, D., Packianather, M. S. and Mastrocinque, E. 2015. An enhancement to the Bees Algorithm with slope angle computation and Hill Climbing Algorithm and its applications on scheduling and continuous-type optimisation problem. Production & Manufacturing Research: An Open Access Journal 3(1), pp. 3-19. (10.1080/21693277.2014.976321)
2014
- Yuce, B., Mastrocinque, E., Packianather, M. S., Lambiase, A. and Pham, D. T. 2014. The Bees Algorithm and its applications. In: Vasant, P. ed. Handbook of Research on Artificial Intelligence Techniques and Algorithms. IGI Global, (10.4018/978-1-4666-7258-1.ch004)
- Yuce, B., Mastrocinque, E., Lambiase, A., Packianather, M. S. and Truong Pham, D. 2014. A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy. Swarm and Evolutionary Computation 18, pp. 71-82. (10.1016/j.swevo.2014.04.002)
- Petri, I., Li, H., Rezgui, Y., Chunfeng, Y., Yuce, B. and Jayan, B. 2014. A modular optimisation model for reducing energy consumption in large scale building facilities. Renewable and Sustainable Energy Reviews 38, pp. 990-1002. (10.1016/j.rser.2014.07.044)
- Yuce, B., Li, H., Rezgui, Y., Petri, I., Jayan, B. and Yang, C. 2014. Utilizing artificial neural network to predict energy consumption and thermal comfort level: an indoor swimming pool case study. Energy and Buildings 80, pp. 45-56. (10.1016/j.enbuild.2014.04.052)
- Yang, C., Li, H., Rezgui, Y., Petri, I., Yuce, B., Chen, B. and Jayan, B. 2014. High throughput computing based distributed genetic algorithm for building energy consumption optimization. Energy and Buildings 76, pp. 92-101. (10.1016/j.enbuild.2014.02.053)
- Yuce, B., Mastrocinque, E., Packianather, M. S., Pham, D., Lambiase, A. and Fruggiero, F. 2014. Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects. Production & Manufacturing Research: An Open Access Journal 2(1), pp. 291-308. (10.1080/21693277.2014.892442)
- Mastrocinque, E., Yuce, B., Lambiase, A. and Packianather, M. S. 2014. A system of systems approach to supply chain design. Applied Mechanics and Materials 496, pp. 2807-2814. (10.4028/www.scientific.net/AMM.496-500.2807)
- Packianather, M. S., Yuce, B., Mastrocinque, E., Fruggiero, F., Pham, D. and Lambiase, A. 2014. Novel Genetic Bees Algorithm applied to single machine scheduling problem. Presented at: World Automation Congress (WAC) 2014, Waikoloa, Hawaii, USA, 3-7 August 2014World Automation Congress (WAC), 2014. IEEE pp. 906-911., (10.1109/WAC.2014.6936194)
- Howell, S. K., Rezgui, Y. and Yuce, B. 2014. Knowledge-based holistic energy management of public buildings. Presented at: 2014 International Conference on Computing in Civil and Building Engineering, Orlando, FL, USA, 23-25 June 2014 Presented at Issa, R. I. ed.Computing in Civil and Building Engineering. Amercian Society of Civil Engineers pp. 1667-1674., (10.1061/9780784413616.207)
2013
- Mastrocinque, E., Yuce, B., Lambiase, A. and Packianather, M. S. 2013. A multi-objective optimisation for supply chain network using the bees algorithm. International Journal of Engineering Business Management 5, pp. 1-11., article number: 38. (10.5772/56754)
- Yuce, B., Packianather, M. S., Mastrocinque, E., Pham, D. T. and Lambiase, A. 2013. Honey bees inspired optimization method: the Bees Algorithm. Insects 4(4), pp. 646-662. (10.3390/insects4040646)
2012
- Kubat, C. and Yuce, B. 2012. A hybrid intelligent approach for supply chain management system. Journal of Intelligent Manufacturing 23(4), pp. 1237-1244. (10.1007/s10845-010-0431-2)
- Yuce, B. 2012. Novel computational technique for determining depth using the Bees Algorithm and blind image deconvolution. PhD Thesis, Cardiff University.
Contracts
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Supervised Students
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