Overview
- 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
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
Keywords
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 techniquessuch as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), and other recently developed algorithms.
Authors and Affiliations
About the author
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 professionalson 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.
Bibliographic Information
Book Title: Jaya: An Advanced Optimization Algorithm and its Engineering Applications
Authors: Ravipudi Venkata Rao
DOI: https://doi.org/10.1007/978-3-319-78922-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-78921-7Published: 21 June 2018
Softcover ISBN: 978-3-030-07680-1Published: 19 January 2019
eBook ISBN: 978-3-319-78922-4Published: 09 June 2018
Edition Number: 1
Number of Pages: XVII, 334
Number of Illustrations: 17 b/w illustrations, 47 illustrations in colour
Topics: Computational Intelligence, Engineering Thermodynamics, Heat and Mass Transfer, Optimization, Mechanical Engineering, Industrial and Production Engineering