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Jaya: An Advanced Optimization Algorithm and its Engineering Applications

Authors: Venkata Rao, R.

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  • Presents a comprehensive review of the latest international research and development trends for design optimization of various systems and processes in different engineering disciplines
  • Provides real-world case studies of applications of different versions of Jaya algorithm in the fields of mechanical, thermal, manufacturing, electrical, computer, civil, and structural engineering
  • Compares the results of applications of the Jaya algorithm and its versions with other advanced optimization algorithms and highlights the optimization algorithms that achieve the best performance
  • Includes the computer codes of different versions of Jaya algorithm in MATLAB
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eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-78922-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-78921-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-030-07680-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book introduces readers to the “Jaya” algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. It describes the algorithm, discusses its differences with other advanced optimization techniques, and examines the applications of versions of the algorithm in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering.

In real complex optimization problems, the number of parameters to be optimized can be very large and their influence on the goal function can be very complicated and nonlinear in character. Such problems cannot be solved using classical methods and advanced optimization methods need to be applied. The Jaya algorithm is an algorithm-specific parameter-less algorithm that builds on other advanced optimization techniques. The application of Jaya in several engineering disciplines is critically assessed and its success compared with other complex optimization techniques such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), and other recently developed algorithms.


About the authors

Dr. R. Venkata Rao is currently working as a Professor at the Department of Mechanical Engineering, S.V. National Institute of Technology, Surat, India. He has more than 27 years of teaching and research experience, having completed his B.Tech. in 1988, M.Tech. in 1991, Ph.D. in 2002 and D.Sc. in 2017. Dr. Rao’s research interests include: advanced optimization algorithms and their applications to design, thermal and manufacturing engineering, and fuzzy multiple attribute decision-making (MADM) methods and their industrial applications. He has more than 300 research papers to his credit, published in national and international journals and conference proceedings, and has received national and international awards for his research efforts. He is a reviewer for more than 80 national and international journals and serves on the editorial boards of several international journals. Apart from conducting a number of short-term training programs for faculty members and professionals on advanced engineering optimization techniques, he has handled numerous research projects including the bi-lateral projects with Austria, Russia and Slovenia. He also worked as a Visiting Professor at Cracow University of Technology, Poland in January  and November 2016 and at Asian Institute of Technology, Thailand in 2008, 2010, 2015 and 2018. He has authored five books entitled “Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods (Volume 1 (2007) and Volume 2 (2013)),”“Advanced Modeling and Optimization of Manufacturing Processes: International Research and Development (2010),” “Mechanical Design Optimization Using Advanced Optimization Techniques (2012)” and “Teaching-Learning-Based Optimization Algorithm and Its Engineering Applications (2016),” all of which were published by Springer Verlag, UK.

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Introduction

    Pages 1-8

    Venkata Rao, Ravipudi

  • Jaya Optimization Algorithm and Its Variants

    Pages 9-58

    Venkata Rao, Ravipudi

  • Application of Jaya Algorithm and Its Variants on Constrained and Unconstrained Benchmark Functions

    Pages 59-90

    Venkata Rao, Ravipudi

  • Single- and Multi-objective Design Optimization of Heat Exchangers Using Jaya Algorithm and Its Variants

    Pages 91-124

    Venkata Rao, Ravipudi

  • Single- and Multi-objective Design Optimization of Heat Pipes and Heat Sinks Using Jaya Algorithm and Its Variants

    Pages 125-159

    Venkata Rao, Ravipudi

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-78922-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-78921-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-030-07680-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Jaya: An Advanced Optimization Algorithm and its Engineering Applications
Authors
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-78922-4
DOI
10.1007/978-3-319-78922-4
Hardcover ISBN
978-3-319-78921-7
Softcover ISBN
978-3-030-07680-1
Edition Number
1
Number of Pages
XVII, 334
Number of Illustrations
17 b/w illustrations, 47 illustrations in colour
Topics