Engineering Optimization: Theory and Practice
Material type: TextPublication details: New Delhi: New Age International (P) Limited, Publishers, 2013. 2023Edition: 3rd, 4Description: 543, 760ISBN:- 9788122427233
- 9789395161800
- 620.0015196 RAO
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Book | Alliance College of Engineering and Design | Mechanical Engineering | 620.0015196 (Browse shelf(Opens below)) | Available | E14326 | |||
Book | Alliance College of Engineering and Design | Mechanical Engineering | 620.0015196 RAO (Browse shelf(Opens below)) | Available | E11092 |
A rigorous mathematical approach to identify a set of design alternatives and selecting the best candidate from within that set, engineering optimization was developed as a means of helping engineers to design systems that are both more efficient and less expensive and to develop new ways of improving the performance of existing systems.
Thanks to the breathtaking growth in computer technology that has occurred over the past decade, optimization techniques can now be used to find creative solutions to larger, more complex problems than ever before. As a consequence, optimization is now viewed as an indispensable tool of the trade for engineers working in many different industries, especially the aerospace, automotive, chemical, electrical, and manufacturing industries.
In Engineering Optimization, Professor Singiresu S Rao provides an application oriented presentation of the full array of classical and newly developed optimization techniques now being used by engineers in a wide range of industries. Essential proofs and explanations of the various techniques are given in a straightforward, user-friendly manner, and each method is copiously illustrated with real-world examples that demonstrate how to maximize desired benefits while minimizing negative aspects of project design.
Comprehensive, authoritative, up-to-date, Engineering Optimization provides in-depth coverage of linear and nonlinear programming, dynamic programming, integer programming, and stochastic programming techniques as well as several break through methods, including genetic algorithms, simulated annealing, and neural network-based and fuzzy optimization techniques.
Designed to function equally well as either a professional reference or a graduate-level text, Engineering Optimization features many solved problems taken from several engineering fields, as well as review questions, important figures, and helpful references.
Engineering Optimization is a valuable working resource for engineers employed in practically all technological industries. It is also a superior didactic tool for graduate students of mechanical, civil, electrical, chemical and aerospace engineering.
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