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 focuses on the evolutionary, stochastic and artificial intelligence optimization algorithms. It gives a special emphasis to their design, analysis and implementation to solve complex optimization problems of different engineering fields. Drs. Satya Eswari and Ch. Venkateswarlu detail several real applications of the algorithms in chemical, biochemical, pharmaceutical, and environmental engineering processes. This book is unequalled in the field in its thorough description of the formulation, design and implementation of various advanced optimization strategies to solve wide variety of real engineering problems. It presents various algorithms, including the genetic algorithm (GA), simulated annealing (SA), differential evolution (DE), ant colony optimization (ACO), tabu search (TS), artificial neural networks (ANN) and radial basis function networks (RBFN). The design and analysis of these algorithms is studied by applying them to solve complex optimization problems. End User Key Features: Presents various evolutionary, stochastic, and artificial intelligence optimization algorithms for the benefit of the audience concerning to different domainsOutlines design, analysis and implementation of optimization strategies to solve complex optimization problems of different domainsHighlights a number of real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes INDICE: 1. Basic Concepts 2. A Brief Review of Classical Methods 3. Stochastic and Evolutionary Optimization Algorithms 4. Application of Stochastic and Evolutionary Optimization Algorithms to Base Case Problems 5. Applications to Chemical Processes 6. Applications to Biochemical Processes 7. Applications to Pharmaceutical Processes 8. Applications to Environmental Processes 9. Conclusions

• ISBN: 978-0-12-817392-3
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 287
• Fecha Publicación: 01/11/2019
• Nº Volúmenes: 1
• Idioma: Inglés