Innovative Computing Methods and their Applications to Engineering Problems by Nadia NedjahInnovative Computing Methods and their Applications to Engineering Problems by Nadia Nedjah

Innovative Computing Methods and their Applications to Engineering Problems

byNadia NedjahEditorLeandro Santos Coelho, Viviana Cocco Mariani

Paperback | July 15, 2013

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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.
Title:Innovative Computing Methods and their Applications to Engineering ProblemsFormat:PaperbackDimensions:164 pages, 23.5 × 15.5 × 0.02 inPublished:July 15, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642268366

ISBN - 13:9783642268366

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Table of Contents

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.