Innovative Computing Methods and Their Applications to Engineering Problems
Nedjah, Nadia.
Innovative Computing Methods and Their Applications to Engineering Problems [recurso electrónico] / edited by Nadia Nedjah, Leandro Santos Coelho, Viviana Cocco Mariani, Luiza Macedo Mourelle. - VIII, 164 p. online resource. - Studies in Computational Intelligence, 357 1860-949X ; . - Studies in Computational Intelligence, 357 .
1- A discrete differential evolution approach with local search for traveling salesman problems -- 2- Genetic Algorithm based Reliability Optimization in Interval Environment -- 3- PSO for Building Fuzzy Systems -- 4- Maintenance optimization of wind turbine systems based on intelligent prediction tools -- 5- Clonal selection algorithm applied to economic dispatch optimization of electrical energy -- 6- Dynamic Objectives Aggregation Methods in Multi-objective Evolutionary Optimization -- 7- Application Mapping for Efficient NoC-based Implementation using Evolutionary Multi-objective Optimization -- 8- Theory and Applications of Chaotic Optimization Methods.
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.
9783642209581
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Q342
006.3
Innovative Computing Methods and Their Applications to Engineering Problems [recurso electrónico] / edited by Nadia Nedjah, Leandro Santos Coelho, Viviana Cocco Mariani, Luiza Macedo Mourelle. - VIII, 164 p. online resource. - Studies in Computational Intelligence, 357 1860-949X ; . - Studies in Computational Intelligence, 357 .
1- A discrete differential evolution approach with local search for traveling salesman problems -- 2- Genetic Algorithm based Reliability Optimization in Interval Environment -- 3- PSO for Building Fuzzy Systems -- 4- Maintenance optimization of wind turbine systems based on intelligent prediction tools -- 5- Clonal selection algorithm applied to economic dispatch optimization of electrical energy -- 6- Dynamic Objectives Aggregation Methods in Multi-objective Evolutionary Optimization -- 7- Application Mapping for Efficient NoC-based Implementation using Evolutionary Multi-objective Optimization -- 8- Theory and Applications of Chaotic Optimization Methods.
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.
9783642209581
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Q342
006.3
