Innovative Computing Methods and Their Applications to Engineering Problems

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Nadia Nedjah, Leandro Santos Coelho, Viviana Cocco Mariani, Luiza de Macedo Mourelle
Springer Science & Business Media, May 25, 2011 - Computers - 164 pages
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.
 

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Contents

A Discrete Differential Evolution Approach with Local Search for Traveling Salesman Problems
1
Genetic Algorithm Based Reliability Optimization in Interval Environment
13
PSO in Building Fuzzy Systems
37
Maintenance Optimization of Wind Turbine Systems Based on Intelligent Prediction Tools
53
Clonal Selection Algorithm Applied to Economic Dispatch Optimization of Electrical Energy
72
Dynamic Objectives Aggregation Methods in Multiobjective Evolutionary Optimization
85
Evolutionary IP Mapping for Efficient NoCBased System Design Using Multiobjective Optimization
104
Theory and Applications of Chaotic Optimization Methods
131
Author Index
162
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