Description: Jaya: An Advanced Optimization Algorithm and its Engineering Applications by Ravipudi Venkata Rao This book introduces readers to the "Jaya" algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Author Biography 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. Raos 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. Table of Contents 1.Introduction to Optimization.- 2.Jaya Optimization Algorithm.- 3.Application of Jaya Algorithm On Single Objective Unconstrained And Unconstrained Benchmark Functions.- 4.Application of Jaya Algorithm On Multi-objective Unconstrained And Constrained Benchmark Functions.- 5.Application of Jaya Algorithm On Constrained Benchmark Mechanical Design Problems.- 6.Single And Multi-objective Design Optimization of Different Types of Mechanical Elements Using Jaya Algorithm.- 7.Single And Multi-objective Design Optimization of Heat Exchangers Using Jaya Algorithm.- 8.Single and Multi-objective Design Optimization of Heat Sinks Using Jaya Algorithm.- 9.Single and Multi-objective Design Optimization of Mechanical Draft Cooling Towers Using Jaya Algorithm.- 10.Robot Path Planning Using Jaya Algorithm.- 11.Multiobjective Optimization of Design and Manufacturing Tolerances Using Jaya Algorithm.- 12.Single and Multiobjective Optimization of Traditional and Modern Machining and Nano-finishing Processes Using Jaya Algorithm.- 13.Single and Multiobjective Optimization of Advanced Casting Processes Using Jaya Algorithm.- 14.Applications of Jaya Algorithm to Different Engineering and Science Disciplines.- 15.Concluding Remarks.- Appendix: Jaya Algorithm Codes for Multiobjective Unconstrained and Constrained Optimization Problems. Feature 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 Details ISBN331978921X Author Ravipudi Venkata Rao Publisher Springer International Publishing AG Year 2018 Edition 1st ISBN-10 331978921X ISBN-13 9783319789217 Format Hardcover Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Language English DEWEY 006.3 Pages 334 Illustrations 47 Illustrations, color; 17 Illustrations, black and white; XVII, 334 p. 64 illus., 47 illus. in color. Publication Date 2018-06-21 Short Title Jaya Subtitle An Advanced Engineering Optimization Algorithm and Its Applications Edition Description 1st ed. 2019 Alternative 9783030076801 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131030359;
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ISBN-13: 9783319789217
Book Title: Jaya: An Advanced Optimization Algorithm and its Engineering Appl
Number of Pages: 334 Pages
Language: English
Publication Name: Jaya: an Advanced Optimization Algorithm and Its Engineering Applications
Publisher: Springer International Publishing Ag
Publication Year: 2018
Subject: Engineering & Technology, Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 694 g
Type: Textbook
Author: Ravipudi Venkata Rao
Subject Area: Mechanical Engineering
Item Width: 155 mm
Format: Hardcover
