Mechanical design includes an optimization process in which
designers always consider objectives such as strength, deflection,
weight, wear, corrosion, etc. depending on the requirements.
However, design optimization for a complete mechanical assembly
leads to a complicated objective function with a large number of
design variables. It is a good practice to apply optimization
techniques for individual components or intermediate assemblies
than a complete assembly. Analytical or numerical methods for
calculating the extreme values of a function may perform well in
many practical cases, but may fail in more complex design
situations. In real design problems, the number of design
parameters can be very large and their influence on the value to be
optimized (the goal function) can be very complicated, having
nonlinear character. In these complex cases, advanced optimization
algorithms offer solutions to the problems, because they find a
solution near to the global optimum within reasonable time and
computational costs.
"Mechanical Design Optimization Using Advanced Optimization
Techniques" presents a comprehensive review on latest research and
development trends for design optimization of mechanical elements
and devices. Using examples of various mechanical elements and
devices, the possibilities for design optimization with advanced
optimization techniques are demonstrated. Basic and advanced
concepts of traditional and advanced optimization techniques are
presented, along with real case studies, results of applications of
the proposed techniques, and the best optimization strategies to
achieve best performance are highlighted. Furthermore, a novel
advanced optimization method named teaching-learning-based
optimization (TLBO) is presented in this book and this method shows
better performance with less computational effort for the large
scale problems.
"Mechanical Design Optimization Using Advanced Optimization
Techniques" is intended for designers, practitioners, managers,
institutes involved in design related projects, applied research
workers, academics, and graduate students in mechanical and
industrial engineering and will be useful to the industrial product
designers for realizing a product as it presents new models and
optimization techniques to make tasks easier, logical, efficient
and effective.
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