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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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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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on Innovative Computing Methods and their Applications to Engineering Problems Concentrates on Computing Methodology for Engineering Written by leading experts in the fieldThe design of most modern engineering systems ent. Nº de ref. del artículo: 5054880
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 172 pp. Englisch. Nº de ref. del artículo: 9783642268366
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783642268366
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Taschenbuch. Condición: Neu. Neuware -Inhaltsangabe1- 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 Multiobjective Evolutionary Optimization. 7 Application Mapping for Efficient NoCbased Implementation using Evolutionary Multiobjective Optimization. 8 Theory and Applications of Chaotic Optimization Methods.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch. Nº de ref. del artículo: 9783642268366
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