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Titlebook: Jaya: An Advanced Optimization Algorithm and its Engineering Applications; Ravipudi Venkata Rao Book 2019 Springer International Publishin

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发表于 2025-3-21 17:42:53 | 显示全部楼层 |阅读模式
书目名称Jaya: An Advanced Optimization Algorithm and its Engineering Applications
编辑Ravipudi Venkata Rao
视频video
概述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-
图书封面Titlebook: Jaya: An Advanced Optimization Algorithm and its Engineering Applications;  Ravipudi Venkata Rao Book 2019 Springer International Publishin
描述.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..
出版日期Book 2019
关键词Advanced optimization algorithms; Jaya algorithm; Constrained and unconstrained benchmark problems; Mul
版次1
doihttps://doi.org/10.1007/978-3-319-78922-4
isbn_softcover978-3-030-07680-1
isbn_ebook978-3-319-78922-4
copyrightSpringer International Publishing AG, part of Springer Nature 2019
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发表于 2025-3-21 21:40:53 | 显示全部楼层
Introduction,This chapter presents an introduction to the single objective and multi-objective optimization problems and the optimization techniques to solve the same. The a priori and a posteriori approaches of solving the multi-objective optimization problems are explained. The importance of algorithm-specific parameter-less concept is emphasized.
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Ravipudi Venkata RaoPresents 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-
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Application of Jaya Algorithm and Its Variants on Constrained and Unconstrained Benchmark Functionse considered CEC 2015 benchmark functions and the other constrained and unconstrained optimization problems. The statistical tests have also supported the performance supremacy of the variants of the Jaya algorithm.
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Single- and Multi-objective Design Optimization of Heat Exchangers Using Jaya Algorithm and Its Varlication of Jaya algorithm and its variants are compared with those of the other state-of-the-art optimization algorithms and the performance supremacy of the Jaya algorithm and its variants is established.
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