Publications

Journal articles

[J12] A. Tzanetos, M.J. Blondin. (2023). Systematic search and mapping review of the concrete delivery problem (CDP): formulations, objectives, and data. Automation in Construction. https://doi.org/10.1016/j.autcon.2022.104631
[J11] A. Tzanetos, M.J. Blondin. (2023). Real operational data for the concrete delivery problem. Data in Brief. https://doi.org/10.1016/j.dib.2023.109189
[J10] S. Naderi, M.J. Blondin. (2023). A Mapping and State-of-the-Art Survey on Multi-Objective Optimization Methods for Multi-Agent Systems. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3341295
[J9] S. Naderi, M.J. Blondin, B. Rezaie. (2023). Optimizing an Adaptive Fuzzy Logic Controller of a Three Degree-of-Freedom Helicopter througha Modified PSO Algorithm. International Journal of Dynamics and Control. https://doi.org/10.1007/s40435-022-01091-4
[J8] A. Tzanetos, M.J. Blondin. (2023). A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2022.105521
[J7] Blondin M, Hale M. (2021). A Decentralized Multi-Objective Optimization Algorithm. Journal of Optimization Theory and Applications. https://doi.org/10.1007/s10957-021-01840-z
[J6] Essam H. Houssein, Mohamed A. Mahdy, Maude J. Blondin, Doaa Shebl, Waleed M. Mohamed. (2021). Hybrid Slime Mould Algorithm with Adaptive Guided Differential Evolution Algorithm for Combinatorial and Global Optimization Problems. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2021.114689
[J5] Mande D, Blondin M, Trovão JP. (2020). Optimization of Fractional Order PI Controller for Bidirectional Quasi Z-Source Inverter Using for Electric Traction System. IET Electrical Systems in Transportation. https://doi.org/10.1049/iet-est.2020.0005
[J4] Blondin M, Pardalos P. (2019). An holistic optimization approach for inverted cart-pendulum control tuning. Soft Computing, Springer. https://doi.org/10.1007/s00500-019-04198-7
[J3] Blondin M, Trovão JP. (2019). Soft-computing techniques for cruise controller tuning for an off-road electric vehicle. IET Electrical Systems in Transportation. 9(4) https://doi.org/10.1049/iet-est.2019.0008
[J2] Blondin M, Sicard P, Pardalos P. (2019). Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System. Transactions of IMACS Mathematics and Computers in Simulation. 163: 168-192. https://doi.org/10.1016/j.matcom.2019.02.019
[J1] Blondin M, Sanchis Sáez J, Sicard P, Herrero JM. (2018). New optimal controllertuning method for AVR system using a simplified Ant Colony Optimization with a Nelder-Mead constrained algorithm. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2017.10.007

Books

[B1] Blondin M. (2020). Controller tuning Optimization Methods for multi-constraints and non-linear systems. : SpringerBriefs. https://link.springer.com/book/10.1007/978-3-030-64541-0

Books chapters

[BC4] A. A. Berraies, A. Tzanetos, M. J. Blondin. (2023). Machine Learning to Facilitate the Integration of Renewable Energies into the Grid. Handbook of Smart Energy Systems. : 689-711. https://link.springer.com/referenceworkentry/10.1007/978-3-030-97940-9_65
[BC3] M. J. Blondin. (2022). Decentralized multiobjective optimization algorithms. Panos M. Pardalos, Oleg Prokopyev. Encyclopedia of Optimization. : 0-0. https://doi.org/10.1007/s10957-021-01840-z
[BC2] Maude J. Blondin. (2021). PID controller with computational optimization. Encyclopedia of Power Engineering. : 1-21. http://dx.doi.org/10.1016/B978-0-12-821204-2.00007-6
[BC1] Blondin M, Pardalos P, Sanchis Sáez J. (2018). Control Engineering from Classical to Intelligent Control Theory – An overview. Control Engineering from Classical to Intelligent Control Theory – An overview. : 1-30. https://doi.org/10.1007/978-3-030-25446-9_1

Contributed books

[CB2] M. J. Blondin, J. P. Fernandes Trovão, H. Chaoui, P. M. Pardalos (2022). Intelligent Control and Smart Energy Management. :SpringerBriefs. https://doi.org/10.1007/978-3-030-84474-5
[CB1] M. J. Blondin, P. M. Pardalos, J. Sanchis Sáez (2019). Computational Intelligence and Optimization Methods for Control Engineering. :SpringerBriefs. https://doi.org/10.1007/978-3-030-25446-9

Conference publications

[C14] A. Esparza, M. J. Blondin, J. P. Trovoa, (2024). Sensitivity Analysis of Battery Degradation Concerning Control Parameters of a Hybrid Nanogrid. IECON 2024 – 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA. Conference Date : 2024/11. (accepted)
[C13] A. Esparza, I. Moreno, M. A. Mantilla, G. E. Mejía-Ruiz, M. J. Blondin. (2022). A Voltage Support Strategy Based on a Per-Phase Controlled Inverter in Faulty Networks. 2022 IEEE PES Generation, Transmission and Distribution Conference and Exposition–Latin America (IEEE PES GTD Latin America),
https://doi.org/10.1109/IEEEPESGTDLatinAmeri53482.2022.10038300
[C12] Naderi S, Blondin MJ, Rezaie B. (2021). Optimizing an Adaptive Fuzzy Logic Controller of a Three Degree of-Freedom Helicopter through a Modified PSO Algorithm. World Congress of Global Optimization, Athens, Greece. Conference Date: 2021/7, Abstract http://dx.doi.org/10.1007/s40435-022-01091-4
[C11] H. R. Chamorro, F. Gonzalez-Longat, D. Topic, M. J. Blondin, V. K. Sood and W. Martinez (2020). Multi-Objective Approach for Hydro Governors Control Tuning. 2020 International Conference on Smart Systems and Technologies (SST), Osijek, Croatia.
Conference Date: 2020/10, https://doi.org/10.1109/SST49455.2020.9264050
[C10] Blondin M, Hale M. (2020). An Algorithm for Multi-Objective Multi-Agent Optimization. American Control Conference, Denver, United States of America
Conference Date: 2020/7, https://doi.org/10.23919/ACC45564.2020.9148017
[C9] Blondin M, Dépature C, Sicard P, Pardalos P. (2018). Metaheuristic Optimization for Backstepping Control and Inversion Based Control for an Electric Vehicle. Vehicle Power and Propulsion Conference, Chicago, United States of America
Conference Date: 2018/8, https://doi.org/10.1109/VPPC.2018.8604996
[C8] Blondin M, Sicard P, Pardalos P. (2018). The ACO-NM algorithm for controller tuning and rail length consideration for an inverted cart-pendulum. International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Almafo Coast, Italy
Conference Date: 2018/6, https://doi.org/10.1109/SPEEDAM.2018.8445205
[C7] Blondin M, Sicard P. (2017). Robust tuning of PID controllers for transient performance. Conference on Modeling and Simulation of Electrical Machines, Converters and Systems (ELECTRIMACS), Toulouse, France
Conference Date: 2017/7.
[C6] Blondin M, Sicard P, Sanchis Sáez J. (2015). Convergence analysis of hybrid ACO/Nelder-Mead tuning method for PID controller structures with anti-windup. Proceedings of the Conference on Control and its Applications.
Conference Date: 2015/7, https://doi.org/10.1137/1.9781611974072.3
[C5] Blondin M, Sicard P. (2015). Statistical convergence analysis of ACO — NM for PID controller tuning. 2015 IEEE International Conference on Industrial Technology (ICIT).
Conference Date: 2015/3, https://doi.org/10.1109/ICIT.2015.7125146
[C4] Blondin M, Sicard P. (2014). A Hybrid ACO and Nelder-Mead constrained algorithm for controller and anti-windup tuning. 16th European Conference on Power Electronics and Applications, Lappeenranta, Finland.
Conference Date: 2014/8, https://doi.org/10.1109/EPE.2014.6910980
[C3] Blondin M, Sicard P. (2013). Combined ACO algorithm — Nelder-Mead simplex search for controller and anti-windup tuning for a motion system with flexible transmission. IECON 2013 – 39th Annual Conference of the IEEE Industrial Electronics Society.
Conference Date: 2013/11, https://doi.org/10.1109/ICIT.2015.7125146
[C2] Blondin M, Sicard P. (2013). PID controllers and anti-windup systems tuning using ant colony optimization. 15th European Conference on Power Electronics and Applications (EPE), Lille, France.
Conference Date: 2013/9, https://doi.org/10.1109/EPE.2013.6634717
[C1] Blondin M, Sicard P. (2013). ACO based controller and anti-windup tuning for motion systems with flexible transmission. 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, Canada.
Conference Date: 2013/5, https://doi.org/10.1109/CCECE.2013.6567716