Innovative Computing Methods and Their Applications to Engineering Problems

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Nedjah, Nadia (Επιμελητής έκδοσης), Santos Coelho, Leandro dos (Επιμελητής έκδοσης), Mariani, Viviana Cocco (Επιμελητής έκδοσης), Macedo Mourelle, Luiza de (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Σειρά:Studies in Computational Intelligence, 357
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Innovative Computing Methods and Their Applications to Engineering Problems  |h [electronic resource] /  |c edited by Nadia Nedjah, Leandro dos Santos Coelho, Viviana Cocco Mariani, Luiza de Macedo Mourelle. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2011. 
300 |a VIII, 164 p.  |b online resource. 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 357 
505 0 |a 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. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Nedjah, Nadia.  |e editor. 
700 1 |a Santos Coelho, Leandro dos.  |e editor. 
700 1 |a Mariani, Viviana Cocco.  |e editor. 
700 1 |a Macedo Mourelle, Luiza de.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642209574 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 357 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-20958-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)