Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes (Paperback)

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents various algorithms that include the genetic algorithm, simulated annealing, differential evolution, ant colony optimization, tabu search, particle swarm optimization, artificial bee colony optimization, and cuckoo search algorithm. The design and analysis of these algorithms is studied by applying them to solve various base case and complex optimization problems concerning chemical, biochemical, pharmaceutical, and environmental engineering processes. Design and implementation of various classical and advanced optimization strategies to solve a wide variety of optimization problems makes this book beneficial to graduate students, researchers, and practicing engineers working in multiple domains. This book mainly focuses on stochastic, evolutionary, and artificial intelligence optimization algorithms with a special emphasis on their design, analysis, and implementation to solve complex optimization problems and includes a number of real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Release date:	November 2019
First published:	2020
Authors:	Ch. Venkateswarlu • Satya Eswari Jujjavarapu
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	310
ISBN-13:	978-0-12-817392-3
Categories:	Books > Professional & Technical > Biochemical engineering > General Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Chemical engineering
LSN:	0-12-817392-0
Barcode:	9780128173923

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