Overview
- Editors:
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Gustavo Mendes Platt
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Universidade Federal do Rio Grande, Santo Antônio da Patrulha, Brazil
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Xin-She Yang
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School of Science and Technology, Middlesex University, London, UK
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Antônio José Silva Neto
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Polytechnic Institute, Universidade do Estado do Rio de Janeiro, Nova Friburgo, Brazil
- Highlights a wealth of applications of metaheuristics to real-world problems from several areas of Engineering
- Describes improved versions of classical metaheuristic methods, such as Bat Algorithms and Differential Evolution
- Gathers contributions from 4 countries and 18 research centers around the world
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Table of contents (14 chapters)
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Front Matter
Pages i-xxix
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- Gustavo Mendes Platt, Lucas Venancio Pires de Carvalho Lima, Gustavo Barbosa Libotte, Vinícius Magno de Oliveira Coelho
Pages 1-27
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- Fran Sérgio Lobato, Márcio Aurelio da Silva, Aldemir Aparecido Cavalini Jr., Valder Steffen Jr.
Pages 29-52
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- Wagner Figueiredo Sacco, Ana Carolina Rios-Coelho
Pages 53-62
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- Wilson Wolf Costa, Marcelo Lisboa Rocha, David Nadler Prata, Patrick Letouzé Moreira
Pages 63-85
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- Reynier Hernández Torres, Haroldo Fraga de Campos Velho, Leonardo Dagnino Chiwiacowsky
Pages 87-109
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- Gebrail Bekdaş, Sinan Melih Nigdeli, Aylin Ece Kayabekir, Xin-She Yang
Pages 111-137
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- Lídice Camps Echevarría, Orestes Llanes-Santiago, Antônio José Silva Neto
Pages 139-163
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- Anderson Alvarenga de Moura Meneses, Lenilson Moreira Araujo, Fernando Nogueira Nast, Patrick Vasconcelos da Silva, Roberto Schirru
Pages 165-184
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- Luciano Gonçalves da Silva, Diego Campos Knupp, Luiz Bevilacqua, Augusto César Noronha Rodrigues Galeão, Antônio José Silva Neto
Pages 185-200
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- Roberto Luiz Souza Monteiro, Hernane Borges de Barros Pereira, Davidson Martins Moreira
Pages 201-214
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- Emanuel da Silva Dias Estrada, Elizaldo Domingues dos Santos, Liércio André Isoldi, Luiz Alberto Oliveira Rocha
Pages 215-226
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- Yuri Marchetti Tavares, Nadia Nedjah, Luiza de Macedo Mourelle
Pages 227-246
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- 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
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- Adrián Rodríguez-Ramos, José Manuel Bernal-de-Lázaro, Antônio José Silva Neto, Orestes Llanes-Santiago
Pages 263-281
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Back Matter
Pages 283-284
About this book
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.
Editors and Affiliations
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Universidade Federal do Rio Grande, Santo Antônio da Patrulha, Brazil
Gustavo Mendes Platt
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School of Science and Technology, Middlesex University, London, UK
Xin-She Yang
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Polytechnic Institute, Universidade do Estado do Rio de Janeiro, Nova Friburgo, Brazil
Antônio José Silva Neto
About the editors
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.
