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Computational Methods in Engineering Design and Optimization.

By: Contributor(s): Material type: TextTextSeries: Engineering Computations: Volume 31, Issue 6Publisher: Bradford : Emerald Publishing Limited, 2014Copyright date: ©2014Edition: 1st edDescription: 1 online resource (97 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781784413545
Subject(s): Genre/Form: Additional physical formats: Print version:: Computational Methods in Engineering Design and OptimizationDDC classification:
  • 620.00151
LOC classification:
  • TA345 -- .C66 2014eb
Online resources:
Contents:
Cover -- Editorial advisory board -- Cogeneration design problem -- Robust design of Mars entry micro-probe with evidence theory and multi-fidelity strategies -- Gains tuning of a PI-Fuzzy controller by genetic algorithms -- An efficient PMA-based reliability analysis technique using radial basis function -- Three level hierarchical decision making model with GA.
Summary: Across all fields of Engineering Sciences, many design problems are now tackled using computational techniques that aim at optimizing system performance. The evolution of complex systems has progressed along with the development of computational methods that can treat more and more complex design and simulation problems. All Engineering areas, from power generation and distribution, to structural mechanics and materials, from optimal control to aerodynamics, have benefited from the development of more and more sophisticated computational techniques. Today, the increase in computer performance allows numerical simulation to replace a big portion of experimental tests, and numerical optimisation to handle complex multidisciplinary design problems.This ebook is made of three parts. The first part collected a number of development and applications of computational methods to problems in aeronautics and fluid dynamics, design and optimisation. The second part collected recent advances in the areas of robust design and design for reliability, topology optimisation and multiobjective optimisation applied to control and design, while this third part collects recent works on expert systems used in engineering design, novel decision making and control techniques based on the use of evolutionary algorithms or game theory and two interesting developments in the area of robust design optimisation of complex and expensive engineering systems.
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Cover -- Editorial advisory board -- Cogeneration design problem -- Robust design of Mars entry micro-probe with evidence theory and multi-fidelity strategies -- Gains tuning of a PI-Fuzzy controller by genetic algorithms -- An efficient PMA-based reliability analysis technique using radial basis function -- Three level hierarchical decision making model with GA.

Across all fields of Engineering Sciences, many design problems are now tackled using computational techniques that aim at optimizing system performance. The evolution of complex systems has progressed along with the development of computational methods that can treat more and more complex design and simulation problems. All Engineering areas, from power generation and distribution, to structural mechanics and materials, from optimal control to aerodynamics, have benefited from the development of more and more sophisticated computational techniques. Today, the increase in computer performance allows numerical simulation to replace a big portion of experimental tests, and numerical optimisation to handle complex multidisciplinary design problems.This ebook is made of three parts. The first part collected a number of development and applications of computational methods to problems in aeronautics and fluid dynamics, design and optimisation. The second part collected recent advances in the areas of robust design and design for reliability, topology optimisation and multiobjective optimisation applied to control and design, while this third part collects recent works on expert systems used in engineering design, novel decision making and control techniques based on the use of evolutionary algorithms or game theory and two interesting developments in the area of robust design optimisation of complex and expensive engineering systems.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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