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Among all aspects of engineering, design is the most important step
in developing a new product. A systematic approach to managing
design issues can only be accomplished by applying mathematical
optimization methods. Furthermore, due to the practical issues in
engineering problems, there are limitations in using traditional
methods. As such, stochastic optimization methods such as
differential evolution, simulated annealing, and genetic algorithms
are preferable in finding solutions in design optimization
problems. This book reviews mechanical engineering design
optimization using stochastic methods. It introduces students and
design engineers to practical aspects of complicated mathematical
optimization procedures, and outlines steps for wide range of
selected engineering design problems. It shows how engineering
structures are systematically designed. Many new engineering design
applications based on stochastic optimization techniques in
automotive, energy, military, naval, manufacturing process and
fluids-heat transfer, are described in the book. For each design
optimization problem described, background is provided for
understanding the solutions. There are very few books on
optimization that include engineering applications. They cover
limited applications, and that too of well-known design problems of
advanced and niche nature. Common problems are hardly addressed.
Thus, the subject has remained fairly theoretical. To overcome
this, each chapter in this book is contributed by at least one
academic and one industrial expert researcher.
Among all aspects of engineering, design is the most important step
in developing a new product. A systematic approach to managing
design issues can only be accomplished by applying mathematical
optimization methods. Furthermore, due to the practical issues in
engineering problems, there are limitations in using traditional
methods. As such, stochastic optimization methods such as
differential evolution, simulated annealing, and genetic algorithms
are preferable in finding solutions in design optimization
problems. This book reviews mechanical engineering design
optimization using stochastic methods. It introduces students and
design engineers to practical aspects of complicated mathematical
optimization procedures, and outlines steps for wide range of
selected engineering design problems. It shows how engineering
structures are systematically designed. Many new engineering design
applications based on stochastic optimization techniques in
automotive, energy, military, naval, manufacturing process and
fluids-heat transfer, are described in the book. For each design
optimization problem described, background is provided for
understanding the solutions. There are very few books on
optimization that include engineering applications. They cover
limited applications, and that too of well-known design problems of
advanced and niche nature. Common problems are hardly addressed.
Thus, the subject has remained fairly theoretical. To overcome
this, each chapter in this book is contributed by at least one
academic and one industrial expert researcher.
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