Jaya: An Advanced Optimization Algorithm and its Engineering Applications (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	June 2018
First published:	2019
Authors:	Ravipudi Venkata Rao
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	334
Edition:	1st ed. 2019
ISBN-13:	978-3-319-78921-7
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > Engineering thermodynamics Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-78921-X
Barcode:	9783319789217

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