Computational Intelligence in Emerging Technologies for Engineering Applications

1. Front Matter

   Pages i-xx

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2. Uncertainty Analysis of a Near-Field Acoustic Levitation System

   • Fran Sérgio Lobato, Geisa Arruda Zuffi, Aldemir Ap. Cavalini Jr., Valder Steffen Jr.

   Pages 1-16

3. Uncertainty Quantification and Statistics of Curves and Surfaces

   • Mohamed Bassi, Emmanuel Pagnacco, Eduardo Souza de Cursi

   Pages 17-37

4. Meta-Heuristic Approaches for Automatic Roof Measurement in Solar Panels Installations

   • Luis Diago, Junichi Shinoda, Ichiro Hagiwara

   Pages 39-52

5. Solution of a Coupled Conduction–Radiation Inverse Heat Transfer Problem with the Topographical Global Optimization Method

   • Lucas Correia da Silva Jardim, Diego Campos Knupp, Wagner Figueiredo Sacco, Antônio José Silva Neto

   Pages 53-71

6. Towards Intelligent Optimization of Design Strategies of Cyber-Physical Systems: Measuring Efficacy Through Evolutionary Computations

   • Soumya Banerjee, Valentina E. Balas, Abhishek Pandey, Samia Bouzefrane

   Pages 73-101

7. A Novel Approach for Leak Localization in Water Distribution Networks Using Computational Intelligence

   • Maibeth Sánchez-Rivero, Marcos Quiñones-Grueiro, Alejandro Rosete Suárez, Orestes Llanes Santiago

   Pages 103-122

8. Determination of Nano-aerosol Size Distribution Using Differential Evolution

   • Lucas Camargos Borges, Eduarda Cristina de Matos Camargo, João Jorge Ribeiro Damasceno, Fabio de Oliveira Arouca, Fran Sérgio Lobato

   Pages 123-136

9. Estimation of Timewise Varying Boundary Heat Flux via Bayesian Filters and Markov Chain Monte Carlo Method

   • Wellington B. da Silva, Julio C. S. Dutra, Diego C. Knupp, Luiz A. S. Abreu, Antônio José Silva Neto

   Pages 137-153

10. Health Monitoring of Automotive Batteries in Fast-Charging Conditions Through a Fuzzy Model of the Incremental Capacity

    • Luciano Sánchez, José Otero, Inés Couso, David Anseán

    Pages 155-164

11. Fault Detection and Isolation in Smart Grid Devices Using Probabilistic Boolean Networks

    • Pedro J. Rivera-Torres, Orestes Llanes Santiago

    Pages 165-185

12. Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems

    • Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero

    Pages 187-204

13. Multi-Robot Coalition Formation and Task Allocation Using Immigrant Based Adaptive Genetic Algorithms

    • Amit Rauniyar, Pranab K. Muhuri

    Pages 205-225

14. Lidar and Non-extensive Particle Filter for UAV Autonomous Navigation

    • José Renato G. Braga, Haroldo F. de Campos Velho, Elcio H. Shiguemori

    Pages 227-238

15. Quasi-Optimization of the Time Dependent Traveling Salesman Problem by Intuitionistic Fuzzy Model and Memetic Algorithm

    • Ruba Almahasneh, Boldizsar Tuu-Szabo, Peter Foldesi, Laszlo T. Koczy

    Pages 239-253

16. Analyzing Information and Communications Technology National Indices by Using Fuzzy Data Mining Techniques

    • Taymi Ceruto, Orenia Lapeira, Alejandro Rosete

    Pages 255-279

17. Back Matter

    Pages 281-291

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This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain.
 
The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

• fault diagnosis
• Inverse heat transfer
• Uncertainties
• Multi-objective optimization
• machine learning
• Hybrid algorithms
• Inverse problems
• Fuzzy
• Bio-inspired modeling
• Differential evolution

• CUJAE, Universidad Tecnológica de La Habana José Antonio Echeverría, Marianao, Cuba

  Orestes Llanes Santiago

• University of Granada, Granada, Spain

  Carlos Cruz Corona, José Luis Verdegay

• Estado do Rio de Janeiro, Instituto Politécnico-Universidade do Estado do Rio de Janeiro, Nova Friburgo, Brazil

  Antônio José Silva Neto

Orestes Llanes Santiago received his Electrical Engineer degree from the Universidad Tecnológica de La Habana “José Antonio Echeverría” – CUJAE, Cuba, in 1981. From 1989 to 1994, he pursued graduate studies at the Universidad de Los Andes, Venezuela, where he completed a Master’s degree in Control Engineering (1990) and a PhD in Applied Sciences (1994). He is currently a Full Professor and Researcher at the Faculty of Automation and Biomedical Engineering at the CUJAE and Titular Member of the Cuban Academy of Sciences. His areas of interest are fault diagnosis in industrial systems, nonlinear control, inverse problems and computational intelligence with applications to control.

Carlos Cruz Corona is an Associate Professor at the Department of Computer Science and Artificial Intelligence at the University of Granada, Spain. He obtained an Electronic Engineering degree (1986) from the Universidad Central de Las Villas, and a Master’s in Computer Science from the Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE (1995), both in Cuba, as well as a PhD from the University of Granada, Spain (2005). His fields of research include optimization, decision making, route personalization, and design problems.

Antônio José da Silva Neto is a Full Professor at the Polytechnic Institute of Rio de Janeiro State University, Brazil. He holds Bachelor’s and Master’s degrees in Mechanical and Nuclear Engineering, respectively, both from the Federal University of Rio de Janeiro (1983, 1989), and a PhD in Mechanical Engineering from North Carolina State University, USA (1993). He is a Titular Member of the Brazilian National Academy of Engineering (ANE), and former president of the Brazilian Scientific Societies on Mechanical Sciences and Engineering (ABCM) and Computational and Applied Mathematics (SBMAC).  His main research interests are in heat and mass transfer, numerical methods, optimization, computational intelligenceand inverse problems.

José Luis Verdegay is a Full Professor at the Department of Computer Science and Artificial Intelligence, University of Granada, Spain, where he received his Master’s in Mathematics (1975) and his PhD (1981). He is an IFSA member, IEEE Senior Member and Honorary Member of the Cuban Academy of Mathematics and Computation. His research interests are in soft computing, fuzzy sets and systems, decision autonomous systems, metaheuristic algorithms, and nature inspired systems.

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