Stochastic Global Optimization Methods and Applications to Chemical Biochemical Pharmaceutical and Environmental Processes

This book PDF is perfect for those who love Technology & Engineering genre, written by Ch. Venkateswarlu and published by Elsevier which was released on 18 November 2019 with total hardcover pages 312. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Stochastic Global Optimization Methods and Applications to Chemical Biochemical Pharmaceutical and Environmental Processes books below.

Stochastic Global Optimization Methods and Applications to Chemical  Biochemical  Pharmaceutical and Environmental Processes
Author : Ch. Venkateswarlu
File Size : 46,8 Mb
Publisher : Elsevier
Language : English
Release Date : 18 November 2019
ISBN : 9780128173930
Pages : 312 pages
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Stochastic Global Optimization Methods and Applications to Chemical Biochemical Pharmaceutical and Environmental Processes by Ch. Venkateswarlu Book PDF Summary

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. Presents various classical, stochastic, evolutionary, and artificial intelligence optimization algorithms for the benefit of the audience in different domains Outlines design, analysis, and implementation of optimization strategies to solve complex optimization problems of different domains Highlights numerous real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes

Stochastic Global Optimization Methods and Applications to Chemical  Biochemical  Pharmaceutical and Environmental Processes

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

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