Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab)

Selected Publications

Journals

  1. Innocente, M.S. & Grasso, P. (2019). Self-organising swarms of firefighting drones: Harnessing the power of collective intelligence in decentralised multi-robot systems. Journal of Computational Science 34, 80-101. DOI: 10.1016/j.jocs.2019.04.009
  2. Gkanas, E., Statheros, T., & Khzouz, M. (2019). Heat management on rectangular metal hydride tanks for green building applications. International Journal of Hydrogen Energy 44 (35), 19267-19274. DOI: 10.1016/j.ijhydene.2018.06.030.
  3. Gkanas, E., Khzouz, M., Panagakos, G., Statheros, T., Mihalakakou, P., Siasos, G. I., … Makridis, S. S. (2018). Hydrogenation behavior in rectangular metal hydride tanks under effective heat management processes for green building applications. Energy, 142, 518-530. DOI: 10.1016/j.energy.2017.10.040.
  4. Bland, A., Khzouz, M., Statheros, T., & Gkanas, E. (2017). PCMs for Residential Building Applications: A Short Review Focused on Disadvantages and Proposals for Future Development. Buildings 7 (3), [78]. DOI: 10.3390/buildings7030078.
  5. James, D., Innocente, M., Cherry, J., Carswell, D., Holmes, M., Brown, S., & Lavery, N. (2016). A Methodology for Automated Pellet size Distribution in a Pellet Mill. InImpact: The Journal of Innovation Impact, 7(2), 732-743.
  6. Levatti, H. U., Innocente, M., Morgan, H. D., Cherry, J., Lavery, N., Mehmood, S., … Sienz, J. (2016). Computational Methodology for Optimal Design of Additive Layer Manufactured Turbine Bracket. InImpact: The Journal of Innovation Impact, 7(2), 641-652.
  7. Innocente, M. S., Afonso, S. M. B., Sienz, J., & Davies, H. M. (2015). Particle swarm algorithm with adaptive constraint handling and integrated surrogate model for the management of petroleum fields. Applied Soft Computing, 34, 463-484. DOI: 10.1016/j.asoc.2015.05.032
  8. Statheros, T., Howells, G., & McDonald-Maier, K. (2008). Autonomous ship collision avoidance navigation concepts, technologies and techniques. Journal of Navigation, 61(1), 129-142. DOI: 10.1017/S037346330700447X.
  9. Statheros, T., Howells, G., & McDonald-Maier, K. (2007). Trajectory equilibrium state detection and avoidance algorithm for multi-autonomous potential field mobile robots. Electronics Letters, 43(15), 799-801. DOI: 10.1049/el:20071197.

Book Chapters

  1. Grasso, P., & Innocente, M.S. (2018). Grasso & Innocente (2018). A two-dimensional reaction-advection-diffusion model of the spread of fire in wildlands. In Advances in Forest Fire Research 2018 (pp. 334-342). Imprensa da Universidade de Coimbra.
    DOI: 10.14195/978-989-26-16-506_36.
  2. Sienz, J., & Innocente, M. (2010). Individual and social behaviour in particle swarm optimizers. In B. H. V. Topping, J. M. Adam, F. J. Pallarés, R. Bru, & M. L. Romero (Eds.), Developments and Applications in Engineering Computational Technology (pp. 219-243). (Computational Science, Engineering & Technology Series). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/csets.26.10.
  3. Sienz, J., & Innocente, M. (2008). Particle Swarm Optimization: Fundamental Study and its Application to Optimization and to Jetty Scheduling Problems. In M. Papadrakakis, & B. H. V. Topping (Eds.), Trends in Engineering Computational Technology (pp. 103-126). (Computational Science, Engineering & Technology Series; Vol. 20). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/csets.20.6.

Conferences

  1. Innocente, M. S., & Grasso, P. (2018). Swarm of autonomous drones self-organised to fight the spread of wildfires. In Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting (Vol. 2146). CEUR.
  2. Innocente, M. S., & Grasso, P. (2018). Proof-of-Concept Swarm of Self-Organising Drones Aimed at Fighting Wildfires. In Proceedings of the 2017 UK-RAS Conference: ‘Robots Working for and among Us’, pp. 102–105, Bristol, UK, 2017.
  3. Innocente, M., & Rogers, D. J. (2017). Thermal Modelling and Design Optimisation of DC-DC Converters. Poster session presented at EPSRC Centre for Power Electronics Annual Conference, Loughborough, United Kingdom.
  4. Innocente, M. S., Rogers, D. J., & Choudhury, K. R. (2015). Optimal filter design for power electronic converters. Poster session presented at EPSRC Centre for Power Electronics Annual Conference, Nottingham, United Kingdom.
  5. Pelley, C., Innocente, M., & Sienz, J. (2011). Memetic Particle Swarm for Continuous Unconstrained and Constrained Optimization Problems. In Proceedings of the 2011 International Conference on Swarm Intelligence EISTI.
  6. Innocente, M., & Sienz, J. (2011). Particle Swarm Optimization with Inertia Weight and Constriction Factor. In Proceedings of the 2011 International Conference on Swarm Intelligence.
  7. Innocente, M., & Sienz, J. (2010). Coefficients’ Settings in Particle Swarm Optimization: Insight and Guidelines. In E. Dvorkin, M. Goldschmit, & M. Storti (Eds.), Mecánica Computacional: Computational Intelligence Techniques for Optimization and Data Modeling (B) (Vol. XXIX, pp. 9253-9269). Asociación Argentina de Mecánica Computacional.
  8. Pelley, C., Innocente, M., & Sienz, J. (2010). Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems. In Proceedings of the 8th ASMO UK Conference on Engineering Design Optimization (pp. 268-279). Association for Structural and Multidisciplinary Optimization in the UK.
  9. Innocente, M., & Sienz, J. (2010). Pseudo-Adaptive Penalization to Handle Constraints in Particle Swarm Optimizers. In B. H. V. Topping, J. M. Adam, F. J. Pallarés, R. Bru, & M. L. Romero (Eds.), In Proceedings of the 10th International Conference on Computational Structures Technology [123] (Civil-Comp Proceedings). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/ccp.93.123.
  10. Statheros, T., Howells, G., Lorrentz, P., & McDonald-Maier, K. (2009). A novel potential field algorithm and an intelligent multi-classifier for the automated control and guidance system (ACOS). In ICINCO 2009 – 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings (Vol. 1 ICSO, pp. 337-342).
  11. Fuerle, F., Sienz, J., Innocente, M., Pittman, J. F. T., Samaras, V., & Thomas, S. (2008). Ring-Stiffness Evaluation and Optimization of Structured-Wall Polyethylene Pipes. In B. H. V. Topping, & M. Papadrakakis (Eds.), Proceedings of the Ninth International Conference on Computational Structures Technology [254] (Civil-Comp Proceedings). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/ccp.88.254.
  12. Innocente, M., & Sienz, J. (2007). A study of the fundamental parameters of particle swarm optimizers. In Proceedings of the 7th World Congress on Structural and Multidisciplinary Optimization (pp. 735-744). Seoul: International Society for Structural and Multidisciplinary Optimization.
  13. Innocente, M., Torres, L. L., Cahís, X., Barbeta, G., & Catalán, A. (2007). Optimal flexural design of FRP-reinforced concrete beams using a particle swarm optimizer. In Proceedings of the 8th International Symposium on Fiber-Reinforced Polymer Reinforcement for Concrete Structures.
  14. Howells, G., Khola, S., Statheros, T., & McDonald-Maier, K. D. (2006). An Intelligent Fast-Learning Multi-Classifier System based on Weightless Artificial Neural Architectures. Paper presented at 6th International Conference on Recent Advances in Soft Computing – R A S C 2 0 0 6 – (RASC 2006), Canterbury, United Kingdom.
  15. Innocente, M., & Sienz, J. (2006). Particle Swarm Optimization: Development of a General-Purpose Optimizer. In J. Sienz, O. M. Querin, V. V. Toropov, & P. D. Gosling (Eds.), In Proceedings of the 6th ASMO UK Conference on Engineering Design Optimization (pp. 203-223). Association for Structural and Multidisciplinary Optimization in the UK.
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