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

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

Download or read online Stochastic Global Optimization Methods and Applications to Chemical Biochemical Pharmaceutical and Environmental Processes PDF book by Ch. Venkateswarlu in ePUB, PDF or Kindle eBooks. Published by Elsevier in 18 November 2019 the book become immediate popular and critical acclaim in Technology & Engineering books with total hardcover page 312. Click Download Book button to get book file. Read some info about this book below.

  • Author : Ch. Venkateswarlu
  • Publisher : Elsevier
  • Release : 18 November 2019
  • ISBN : 9780128173930
  • Page : 312 pages
  • Language : English
  • Total View : 5785 Views
  • File Size : 46,9 Mb

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

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