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Jayaan advanced optimization algorit...

Rao, Ravipudi Venkata.

Jayaan advanced optimization algorithm and its engineering applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Jayaby Ravipudi Venkata Rao.
其他題名:	an advanced optimization algorithm and its engineering applications /
作者:	Rao, Ravipudi Venkata.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xvii, 334 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization.
電子資源:	http://dx.doi.org/10.1007/978-3-319-78922-4
ISBN:	9783319789224$q(electronic bk.)

Jayaan advanced optimization algorithm and its engineering applications /
Rao, Ravipudi Venkata.

Jayaan advanced optimization algorithm and its engineering applications /[electronic resource] :by Ravipudi Venkata Rao. - Cham :Springer International Publishing :2019. - xvii, 334 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319789224$q(electronic bk.)

Standard No.: 10.1007/978-3-319-78922-4doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5 / .R367 2019

Dewey Class. No.: 519.6

Jayaan advanced optimization algorithm and its engineering applications /
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505 0 $a 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.
520 $a 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.
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