NOVA LINCS - Algarve, Group: Multimodel Systems. RESEARCH TOPICS: Evolutionary Algorithms, Multi-Objective Optimization, Operational Research, Machine Learning and Data Science. GOOGLE SCHOLAR: https://scholar.google.pt/citations?user=yx6PZlYAAAAJ. Professor Pedro Guerreiro graduated in Computer Science in 1994, has a MSc in Systems and Computing Engineering in 2001, both from the University of Algarve, Portugal, and in 2017 finished his PhD in Discrete Mathematics, with a focus on Computer Optimization, in the University of Seville, Spain. He is Assistant Professor at the Engineering Institute in the University of Algarve since 1996, where he lectures mainly in the areas of Computer Science, Numerical Methods and Databases, and has been a member of Technical and Scientific Council of the Engineering Institute. Presently is a member of the Coordinating Committee of the Civil Engineering Departament, of the Direction of the Master in Geographic Information Systems, and is a researcher of the Research Centre NOVA LINCS - Algarve. He has participated in some projects and has published some book chapters and some articles. SELECTED PUBLICATIONS: (1) Cardoso, P.J.S., Guerreiro, P.M.M., Monteiro, J., Pedro, A.S., Rodrigues, J.M.F. (2021). Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science, vol 12747. Springer, Cham. DOI: 10.1007/978-3-030-77980-1_26 (2) Guerreiro, P.M.M., Cardoso, P.J.S., Fernandes, H.C.L. (2020). A Comparison of Multiple Objective Algorithms in the Context of a Dial a Ride Problem. In: Krzhizhanovskaya, V., et al. Computational Science – ICCS 2020. ICCS 2020. Lecture Notes in Computer Science, vol 12143. Springer, Cham. DOI: 10.1007/978-3-030-50436-6_28 (3) Guerreiro, P.M.M., Cardoso, P.J.S., Fernandes, H.C.L. (2019). Applying NSGA-II to a Multiple Objective Dial a Ride Problem. In: Rodrigues, J., et al. Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11540. Springer, Cham. DOI: 10.1007/978-3-030-22750-0_5; (4) Cardoso, P.J.S., Guerreiro, P.M.M., Pereira, J.A.R., Veiga, R.J.M. (2018). A Route Planner Supported on Recommender Systems Suggestions: Enhancing Visits to Cultural Heritage Places. In Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI '18). Association for Computing Machinery, New York, NY, USA, 144–151. DOI: 10.1145/3218585.3218660; (5) Cardoso, P.J.S., Guerreiro, P.M.M., Monteiro, J., Rodrigues, J.M.F. (2018). Applying an Implicit Recommender System in the Preparation of Visits to Cultural Heritage Places. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments. UAHCI 2018. Lecture Notes in Computer Science, vol 10908. Springer, Cham. DOI: 10.1007/978-3-319-92052-8_33.