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. 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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  • Author : Ch Venkateswarlu
  • Publisher : Anonim
  • Pages : 310 pages
  • ISBN : 0128173920
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKStochastic 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

Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes
  • Author : Ch Venkateswarlu,Jujjavarapu Satya Eswari
  • Publisher : Unknown Publisher
  • Release : 01 November 2019
GET THIS BOOKStochastic 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

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
  • Author : Ch. Venkateswarlu,Satya Eswari Jujjavarapu
  • Publisher : Elsevier
  • Release : 18 November 2019
GET THIS BOOKStochastic 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

Global Optimization in Action

Global Optimization in Action
  • Author : János D. Pintér
  • Publisher : Springer Science & Business Media
  • Release : 30 November 1995
GET THIS BOOKGlobal Optimization in Action

In science, engineering and economics, decision problems are frequently modelled by optimizing the value of a (primary) objective function under stated feasibility constraints. In many cases of practical relevance, the optimization problem structure does not warrant the global optimality of local solutions; hence, it is natural to search for the globally best solution(s). Global Optimization in Action provides a comprehensive discussion of adaptive partition strategies to solve global optimization problems under very general structural requirements. A unified approach to

Stochastic Optimization Methods

Stochastic Optimization Methods
  • Author : Kurt Marti
  • Publisher : Springer Science & Business Media
  • Release : 05 December 2005
GET THIS BOOKStochastic Optimization Methods

Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insensitive with respect to random parameter variations, deterministic substitute problems are needed. Based on the distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Deterministic and stochastic approximation methods and their analytical properties are provided:

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
  • Author : Javier Del Ser Lorente,Eneko Osaba
  • Publisher : BoD – Books on Demand
  • Release : 18 July 2018
GET THIS BOOKNature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of

Stochastic Adaptive Search for Global Optimization

Stochastic Adaptive Search for Global Optimization
  • Author : Z.B. Zabinsky
  • Publisher : Springer Science & Business Media
  • Release : 30 September 2003
GET THIS BOOKStochastic Adaptive Search for Global Optimization

The book overviews several stochastic adaptive search methods for global optimization and provides analytical results regarding their performance and complexity. It develops a class of hit-and-run algorithms that are theoretically motivated and do not require fine-tuning of parameters. Several engineering global optimization problems are summarized to demonstrate the kinds of practical problems that are now within reach. Audience: This book is suitable for graduate students, researchers and practitioners in operations research, engineering, and mathematics.

Discrete Event Systems

Discrete Event Systems
  • Author : Reuven Y. Rubinstein,Alexander Shapiro
  • Publisher : John Wiley & Sons Incorporated
  • Release : 19 October 1993
GET THIS BOOKDiscrete Event Systems

This volume centres upon the important areas of performance evaluation, sensitivity analysis and stochastic optimization of discrete event systems with applications to computer simulation models. It effectively highlights how the score function-likelihood ratio method allows one to evaluate not only the performance, but also to optimize from only a single sample path (simulation) complex discrete event systems, such as queueing networks. A unified and rigorous treatment of the associated stochastic optimization problems is provided and recent advances in perturbation theory

Applications of Artificial Intelligence in Process Systems Engineering

Applications of Artificial Intelligence in Process Systems Engineering
  • Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun DOng
  • Publisher : Elsevier
  • Release : 05 June 2021
GET THIS BOOKApplications of Artificial Intelligence in Process Systems Engineering

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging

Applied Case Studies and Solutions in Molecular Docking-Based Drug Design

Applied Case Studies and Solutions in Molecular Docking-Based Drug Design
  • Author : Dastmalchi, Siavoush
  • Publisher : IGI Global
  • Release : 11 May 2016
GET THIS BOOKApplied Case Studies and Solutions in Molecular Docking-Based Drug Design

As the pharmaceutical industry continues to advance, new techniques in drug design are emerging. In order to deliver optimum care to patients, the development of innovative pharmacological techniques has become a widely studied topic. Applied Case Studies and Solutions in Molecular Docking-Based Drug Design is a pivotal reference source for the latest scholarly research on the progress of pharmaceutical design and computational approaches in the field of molecular docking. Highlighting innovative research perspectives and real-world applications, this book is ideally

Multi-Objective Optimization in Chemical Engineering

Multi-Objective Optimization in Chemical Engineering
  • Author : Gade Pandu Rangaiah,Adri¿n Bonilla-Petriciolet
  • Publisher : John Wiley & Sons
  • Release : 20 March 2013
GET THIS BOOKMulti-Objective Optimization in Chemical Engineering

For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the

Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory

Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory
  • Author : Harold Joseph Kushner
  • Publisher : MIT Press
  • Release : 21 January 1984
GET THIS BOOKApproximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory

Control and communications engineers, physicists, and probability theorists, among others, will find this book unique. It contains a detailed development of approximation and limit theorems and methods for random processes and applies them to numerous problems of practical importance. In particular, it develops usable and broad conditions and techniques for showing that a sequence of processes converges to a Markov diffusion or jump process. This is useful when the natural physical model is quite complex, in which case a simpler

Stochastic Global Optimization

Stochastic Global Optimization
  • Author : Gade Pandu Rangaiah
  • Publisher : World Scientific
  • Release : 21 January 2022
GET THIS BOOKStochastic Global Optimization

Optimization has played a key role in the design, planning and operation of chemical and related processes, for several decades. Global optimization has been receiving considerable attention in the past two decades. Of the two types of techniques for global optimization, stochastic global optimization is applicable to any type of problems having non-differentiable functions, discrete variables and/or continuous variables. It, thus, shows significant promise and potential for process optimization. So far, there are no books focusing on stochastic global

Peterson's Guide to Graduate Programs in Engineering and Applied Sciences 1996

Peterson's Guide to Graduate Programs in Engineering and Applied Sciences 1996
  • Author : Peterson's Guides Staff,Peterson's Guides, Inc
  • Publisher : Petersons
  • Release : 01 November 1995
GET THIS BOOKPeterson's Guide to Graduate Programs in Engineering and Applied Sciences 1996

Provides information about admission, financial aid, programs and institutions, and research specialties within the fields of engineering and applied sciences, including civil engineering, information technology, and bioengineering.