The design of most modern engineering systems entails the consideration of a good trade-off between the several targets requirements to be satisfied along the system life such as high reliability, low redundancy and low operational costs. These aspects are often in conflict with one another, hence a compromise solution has to be sought. Innovative computing techniques, such as genetic algorithms, swarm intelligence, differential evolution, multi-objective evolutionary optimization, just to name few, are of great help in founding effective and reliable solution for many engineering problems. Each chapter of this book attempts to using an innovative computing technique to elegantly solve a different engineering problem.
Editors and Affiliations
Department of Electronics Engineering and Telecommunications Faculty of Engineering, State University of Rio de Janeiro, Brazil
Nadia Nedjah
Católica do Paraná Centro de Ciências, Pontifícia Universidade, Curitiba, Brazil
Leandro Santos Coelho
Mechanical Engineering Graduate Program, Pontifical Catholic University of Parana, Curitiba, Brazil
Viviana Cocco Mariani
Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
Luiza Macedo Mourelle
Bibliographic Information
Book Title: Innovative Computing Methods and their Applications to Engineering Problems
