Jaya: An Advanced Optimization Algorithm and its Engineering Applications
Autor Ravipudi Venkata Raoen Limba Engleză Hardback – 21 iun 2018
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.
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Specificații
ISBN-13: 9783319789217
ISBN-10: 331978921X
Pagini: 225
Ilustrații: XVII, 334 p. 64 illus., 47 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.67 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 331978921X
Pagini: 225
Ilustrații: XVII, 334 p. 64 illus., 47 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.67 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
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