Stochastic Global Optimization Methods And Applications To Chemical Biochemical Pharmaceutical And Environmental Processes
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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 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.
Microbial Surfactants
Biosurfactants are the surface-active biomolecules produced by microorganisms. Biosurfactants have gained commercial significance due to their unique properties, such as high surface activity, high specificity, low toxicity, tolerance to pH, temperature and ionic strength, biodegradability, excellent emulsifying and demulsifying ability, antimicrobial activity, ability to work under extreme conditions, and relative ease of preparation. Biosurfactants are used in several industries, including organic chemicals, petroleum, petrochemicals, mining, metallurgy (mainly bioleaching), agrochemicals, fertilizers, foods, beverages, cosmetics, pharmaceuticals and many others. The aim of this book is to highlight key aspects from basics to advanced concepts, classifications, production and applications in various fields such as agriculture, health, bioremediation, industries, pharmaceutical, oil recovery, environment, and nanotechnology. It also serves as an excellent and expansive literature on fermentation, recovery, genomics, and metagenomics of biosurfactant production. The book focuses on the biosurfactant production from bacteria, the diversity of biosurfactant producing bacteria, and industrial need of biosurfactant.
Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control
Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines. - Describes various classical and advanced versions of mechanistic model based state estimation algorithms - Describes various data-driven model based state estimation techniques - Highlights a number of real applications of mechanistic model based and data-driven model based state estimators/soft sensors - Beneficial to those associated with process monitoring, fault diagnosis, online optimization, control and related areas