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Optimization Concepts and Applications in Engineering

3rd Edition

$120.00 (X)

  • Date Published: July 2019
  • availability: In stock
  • format: Hardback
  • isbn: 9781108424882
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About the Authors
  • Organizations and businesses strive toward excellence, and solutions to problems are based mostly on judgment and experience. However, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers, and then interpreted. Revised and expanded in its third edition, this textbook integrates theory, modeling, development of numerical methods, and problem solving, thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multi-objective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate courses in optimization design and for practicing engineers.

    • Teaches a variety of optimization topics in a manner that integrates theory, algorithms, modeling, and computer implementation
    • Gives students hands-on experience by providing in-house source codes in MATLAB®, JavaScript, Excel VBA, and Fortran, and also shows how readily available commercial software (Excel SOLVER and MATLAB® routines) can be used
    • Useful for students in academia as well as for practicing engineers, as solved examples teach how to tackle realistic engineering optimization problems
    • Provides detailed explanations of all concepts and solution algorithms
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    Reviews & endorsements

    'A meaningful entry into the world of optimization, with useful figures and examples as well as MATLAB samples. Students will continue to discover a wealth of knowledge and gain insights on optimization theory and engineering design applications from this edition.' Soobum Lee, University of Maryland

    'Optimization is one of the most fundamental concepts in engineering, and this new edition of the classic text by Belegundu and Chandrupatla provides a solid introduction to the underlying mathematics and algorithms. Students and practitioners will enjoy their clear explanations of the basic concepts and the many examples spanning the full spectrum of engineering disciplines.' Mykel Kochenderfer, Stanford University

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    Customer reviews

    16th Oct 2020 by UName-886319

    This books gives lot idea related to multiobjective problem and it contains lot example with matlab codes

    Review was not posted due to profanity


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    Product details

    • Edition: 3rd Edition
    • Date Published: July 2019
    • format: Hardback
    • isbn: 9781108424882
    • length: 464 pages
    • dimensions: 260 x 182 x 25 mm
    • weight: 1.13kg
    • contains: 217 b/w illus. 77 tables
    • availability: In stock
  • Table of Contents

    1. Preliminary concepts
    2. One-dimensional unconstrained minimization
    3. Unconstrained optimization
    4. Linear programming
    5. Constrained minimization
    6. Penalty functions, duality, and geometric programming
    7. Direct search methods for nonlinear optimization
    8. Multi-objective optimization
    9. Integer and discrete programming
    10. Dynamic programming
    11. Optimization applications for transportation, assignment, and network problems
    12. Finite element and simulation-based optimization

  • Resources for

    Optimization Concepts and Applications in Engineering

    Ashok D. Belegundu, Tirupathi R. Chandrupatla

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  • Authors

    Ashok D. Belegundu, Pennsylvania State University
    Ashok D. Belegundu has been a Professor of Mechanical Engineering at Pennsylvania State University since 1986. Prior to this, he taught at Kettering University, Michigan. He received his B. Tech. from I.I.T. Madras and his Ph.D. from the University of Iowa. He has been a principal investigator on research projects involving optimization for several agencies including the National Science Foundation, Army Research Office, NASA, SERC (UK), MacNeal-Schwendler Corporation, Gentex Corporation, and Ingersoll-Rand. He has organized two international conferences on optimization in industry and has authored or edited four books and written a chapter in a book. He has advised more than fifty graduate students. He has given short courses on finite elements and optimization to the Forging Industry Association, Hazleton Pumps, Infosys (India). He has served as an associate editor for AIAA Journal and for Mechanics Based Design of Structures and Machines. He teaches a distance education course on optimal design through Pennsylvania State University.

    Tirupathi R. Chandrupatla, Rowan University, New Jersey
    Tirupathi R. Chandrupatla has been a Professor and Founding Chair of Mechanical Engineering at Rowan University, New Jersey since 1995. He received his B.E. from National Institute of Technology, Warangal, his M.Tech. from the Indian Institute of Technology (IIT) and his Ph.D. from University of Texas, Austin. He started his career as a design engineer with Hindustan Machine Tools (HMT), Bangalore and then taught at IIT. Professor Chandrupatla also taught at the University of Kentucky and Kettering University, before joining Rowan. In 2005, he received the Lindback Distinguished Teaching Award at Rowan University. He is also the author of Quality and Reliability in Engineering (Cambridge, 2009), and Introduction to Finite Elements in Engineering (2012). Professor Chandrupatla has broad research interests, which include design, optimization, manufacturing engineering, finite element analysis, and quality and reliability. He published widely in these areas and serves as a consultant to industry. Professor Chandrupatla is a registered Professional Engineer and also a Certified Manufacturing Engineer. He is a member of ASEE, ASME, SAE, and SME.

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