Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

1. Front Matter

   Pages i-xxix

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2. An Overview of the Use of Metaheuristics in Two Phase Equilibrium Calculation Problems

   • Gustavo Mendes Platt, Lucas Venancio Pires de Carvalho Lima, Gustavo Barbosa Libotte, Vinícius Magno de Oliveira Coelho

   Pages 1-27

3. Reliability-Based Robust Optimization Applied to Engineering System Design

   • Fran Sérgio Lobato, Márcio Aurelio da Silva, Aldemir Aparecido Cavalini Jr., Valder Steffen Jr.

   Pages 29-52

4. On Initial Populations of Differential Evolution for Practical Optimization Problems

   • Wagner Figueiredo Sacco, Ana Carolina Rios-Coelho

   Pages 53-62

5. Application of Enhanced Particle Swarm Optimization in Euclidean Steiner Tree Problem Solving in R ^N

   • Wilson Wolf Costa, Marcelo Lisboa Rocha, David Nadler Prata, Patrick Letouzé Moreira

   Pages 63-85

6. Rotation-Based Multi-Particle Collision Algorithm with Hooke–Jeeves Approach Applied to the Structural Damage Identification

   • Reynier Hernández Torres, Haroldo Fraga de Campos Velho, Leonardo Dagnino Chiwiacowsky

   Pages 87-109

7. Optimization in Civil Engineering and Metaheuristic Algorithms: A Review of State-of-the-Art Developments

   • Gebrail Bekdaş, Sinan Melih Nigdeli, Aylin Ece Kayabekir, Xin-She Yang

   Pages 111-137

8. A Bioreactor Fault Diagnosis Based on Metaheuristics

   • Lídice Camps Echevarría, Orestes Llanes-Santiago, Antônio José Silva Neto

   Pages 139-163

9. Optimization of Nuclear Reactors Loading Patterns with Computational Intelligence Methods

   • Anderson Alvarenga de Moura Meneses, Lenilson Moreira Araujo, Fernando Nogueira Nast, Patrick Vasconcelos da Silva, Roberto Schirru

   Pages 165-184

10. Inverse Problem of an Anomalous Diffusion Model Employing Lightning Optimization Algorithm

    • Luciano Gonçalves da Silva, Diego Campos Knupp, Luiz Bevilacqua, Augusto César Noronha Rodrigues Galeão, Antônio José Silva Neto

    Pages 185-200

11. Study of the Impact of the Topology of Artificial Neural Networks for the Prediction of Meteorological Data

    • Roberto Luiz Souza Monteiro, Hernane Borges de Barros Pereira, Davidson Martins Moreira

    Pages 201-214

12. Constructal Design Associated with Genetic Algorithm to Maximize the Performance of H-Shaped Isothermal Cavities

    • Emanuel da Silva Dias Estrada, Elizaldo Domingues dos Santos, Liércio André Isoldi, Luiz Alberto Oliveira Rocha

    Pages 215-226

13. Co-design System for Tracking Targets Using Template Matching

    • Yuri Marchetti Tavares, Nadia Nedjah, Luiza de Macedo Mourelle

    Pages 227-246

14. A Hybrid Estimation Scheme Based on the Sequential Importance Resampling Particle Filter and the Particle Swarm Optimization (PSO-SIR)

    • Wellington Betencurte da Silva, Julio Cesar Sampaio Dutra, José Mir Justino da Costa, Luiz Alberto da Silva Abreu, Diego Campos Knupp, Antônio José Silva Neto

    Pages 247-261

15. Fault Detection Using Kernel Computational Intelligence Algorithms

    • Adrián Rodríguez-Ramos, José Manuel Bernal-de-Lázaro, Antônio José Silva Neto, Orestes Llanes-Santiago

    Pages 263-281

16. Back Matter

    Pages 283-284

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This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion – state-of-the-art approaches for the application of computational intelligence to engineering problems.


The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries – some of which are the original proponents of the methods presented – and 18 research centers around the globe.

• computational intelligence
• metaheuristics
• evolutionary algorithms
• bioinspired algorithms
• nature-inspired algorithms
• optimization
• engineering applications

     

• Universidade Federal do Rio Grande, Santo Antônio da Patrulha, Brazil

  Gustavo Mendes Platt

• School of Science and Technology, Middlesex University, London, UK

  Xin-She Yang

• Polytechnic Institute, Universidade do Estado do Rio de Janeiro, Nova Friburgo, Brazil

  Antônio José Silva Neto

Gustavo Mendes Platt obtained his PhD from the Federal University of Rio de Janeiro (UFRJ, Brazil, 2001), and is currently an Associate Professor at Universidade Federal do Rio Grande. His research interests include phase and chemical equilibrium, stochastic optimization methods and biomaterials. He has published papers in several high-impact journals. Further, he is a member of the Editorial Board of the International Review of Chemical Engineering (Testo Stampato). He is the former Coordinator of the Graduate Program in Computational Modeling (2015-2018) of the Polytechnic Institute (UERJ), and the former Head of the Optimization and Thermodynamics Laboratory (LTO) at the Polytechnic Institute (UERJ).



Xin She-Yang is a Reader in modeling and optimization at Middlesex University and an elected Bye-Fellow at Cambridge University’s Downing College. His research interests include nature-inspired computation, swarm intelligence, modeling, and optimization. Yang received a DPhil (PhD) in applied mathematics from the University of Oxford. He is currently chair of IEEE Computational Intelligence Society’s Task Force on Business Intelligence and Knowledge Management.




Antônio José da Silva Neto is a Mechanical and Nuclear Engineer (Universidade Federal do Rio de Janeiro - UFRJ, Brazil, 1983), holding an MSc in Nuclear Engineering (UFRJ, 1989), and a PhD in Mechanical Engineering (North Carolina State University, USA, 1993). He worked as engineer and researcher for the Brazilian National Nuclear Energy Commission - CNEN (1984-1986), and as consultant and engineer for Promon Engineering (1986-1997). In 1997 he joined the faculty of Universidade do Estado do Rio de Janeiro - UERJ, where he is currently a Full Professor at the Polytechnic Institute.  

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