Dr Baris Yuce

Articles

• 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)
• 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)
• 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)
• 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)
• 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., 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)
• 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)
• 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)
• 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)

Book sections

• 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)
• 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)
• 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)

Conferences

• 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)
• 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
• 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)
• 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)

Thesis

• Yuce, B. 2012. Novel computational technique for determining depth using the Bees Algorithm and blind image deconvolution. PhD Thesis, Cardiff University.