Computational Optimization and Applications in Engineering and Industry

Name: Computational Optimization and Applications in Engineering and Industry
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642209857
Price: 57615 HUF
Availability: InStock

Szerző: Xin-She Yang, Slawomir Koziel

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: 50 % esély

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Contemporary design in engineering and industry relies heavily on computer simulation and efficient...

Információk a könyvről

Szerző

Xin-She Yang, Slawomir Koziel

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2011

oldal

271

EAN

9783642209857

ISBN

3642209858

Enbook ID

01657962

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

570

Méretek

165 x 245 x 17

Teljes leírás

Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications and contributed from worldwide experts who are working in these exciting areas.§Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire.

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Computational Optimization and Applications in Engineering and Industry

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