Optimization Methods And Applications

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Optimization Methods and Applications

Author : Sergiy Butenko,Panos M. Pardalos,Volodymyr Shylo
Publisher : Springer
Page : 639 pages
File Size : 49,9 Mb
Release : 2018-02-20
Category : Mathematics
ISBN : 9783319686400

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Optimization Methods and Applications by Sergiy Butenko,Panos M. Pardalos,Volodymyr Shylo Pdf

Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it illustrates optimization models and solution methods in discrete, non-differentiable, stochastic, and nonlinear optimization. Contributions from experts in optimization are showcased in this book showcase a broad range of applications and topics detailed in this volume, including pattern and image recognition, computer vision, robust network design, and process control in nonlinear distributed systems. This book is dedicated to the 80th birthday of Ivan V. Sergienko, who is a member of the National Academy of Sciences (NAS) of Ukraine and the director of the V.M. Glushkov Institute of Cybernetics. His work has had a significant impact on several theoretical and applied aspects of discrete optimization, computational mathematics, systems analysis and mathematical modeling.

Optimization Methods, Theory and Applications

Author : Honglei Xu,Song Wang,Soon-Yi Wu
Publisher : Springer
Page : 205 pages
File Size : 53,7 Mb
Release : 2015-06-17
Category : Mathematics
ISBN : 9783662470442

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Optimization Methods, Theory and Applications by Honglei Xu,Song Wang,Soon-Yi Wu Pdf

This book presents the latest research findings and state-of-the-art solutions on optimization techniques and provides new research direction and developments. Both the theoretical and practical aspects of the book will be much beneficial to experts and students in optimization and operation research community. It selects high quality papers from The International Conference on Optimization: Techniques and Applications (ICOTA2013). The conference is an official conference series of POP (The Pacific Optimization Research Activity Group; there are over 500 active members). These state-of-the-art works in this book authored by recognized experts will make contributions to the development of optimization with its applications.

Optimization

Author : Rajesh Kumar Arora
Publisher : CRC Press
Page : 454 pages
File Size : 45,6 Mb
Release : 2015-05-06
Category : Business & Economics
ISBN : 9781498721158

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Optimization by Rajesh Kumar Arora Pdf

Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co

Optimization Techniques and Applications with Examples

Author : Xin-She Yang
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 41,7 Mb
Release : 2018-09-19
Category : Mathematics
ISBN : 9781119490548

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Optimization Techniques and Applications with Examples by Xin-She Yang Pdf

A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms. The author—a noted expert in the field—covers a wide range of topics including mathematical foundations, optimization formulation, optimality conditions, algorithmic complexity, linear programming, convex optimization, and integer programming. In addition, the book discusses artificial neural network, clustering and classifications, constraint-handling, queueing theory, support vector machine and multi-objective optimization, evolutionary computation, nature-inspired algorithms and many other topics. Designed as a practical resource, all topics are explained in detail with step-by-step examples to show how each method works. The book’s exercises test the acquired knowledge that can be potentially applied to real problem solving. By taking an informal approach to the subject, the author helps readers to rapidly acquire the basic knowledge in optimization, operational research, and applied data mining. This important resource: Offers an accessible and state-of-the-art introduction to the main optimization techniques Contains both traditional optimization techniques and the most current algorithms and swarm intelligence-based techniques Presents a balance of theory, algorithms, and implementation Includes more than 100 worked examples with step-by-step explanations Written for upper undergraduates and graduates in a standard course on optimization, operations research and data mining, Optimization Techniques and Applications with Examples is a highly accessible guide to understanding the fundamentals of all the commonly used techniques in optimization.

Engineering Optimization

Author : G. V. Reklaitis,A. Ravindran,K. M. Ragsdell
Publisher : Wiley-Interscience
Page : 714 pages
File Size : 40,6 Mb
Release : 1983
Category : Technology & Engineering
ISBN : UOM:39015004475144

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Engineering Optimization by G. V. Reklaitis,A. Ravindran,K. M. Ragsdell Pdf

A basic text for engineering students and practicing engineers dealing with design problems in all engineering disciplines. Optimization algorithms are developed through illustrative examples. Includes numerical results on the efficiencies of various algorithms, comparison of constrained-optimization methods, and strategies for optimization studies. Also includes several actual case studies.

Stochastic Optimization Methods

Author : Kurt Marti
Publisher : Springer
Page : 368 pages
File Size : 46,6 Mb
Release : 2015-02-21
Category : Business & Economics
ISBN : 9783662462140

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Stochastic Optimization Methods by Kurt Marti Pdf

This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the probabilities and expectations involved, the book also shows how to apply approximative solution techniques. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures and differentiation formulas for probabilities and expectations. In the third edition, this book further develops stochastic optimization methods. In particular, it now shows how to apply stochastic optimization methods to the approximate solution of important concrete problems arising in engineering, economics and operations research.

Practical Optimization

Author : Andreas Antoniou,Wu-Sheng Lu
Publisher : Springer Science & Business Media
Page : 675 pages
File Size : 40,5 Mb
Release : 2007-03-12
Category : Computers
ISBN : 9780387711065

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Practical Optimization by Andreas Antoniou,Wu-Sheng Lu Pdf

Practical Optimization: Algorithms and Engineering Applications is a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Applications of Modern Heuristic Optimization Methods in Power and Energy Systems

Author : Kwang Y. Lee,Zita A. Vale
Publisher : John Wiley & Sons
Page : 896 pages
File Size : 48,9 Mb
Release : 2020-04-14
Category : Science
ISBN : 9781119602293

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Applications of Modern Heuristic Optimization Methods in Power and Energy Systems by Kwang Y. Lee,Zita A. Vale Pdf

Reviews state-of-the-art technologies in modern heuristic optimization techniques and presents case studies showing how they have been applied in complex power and energy systems problems Written by a team of international experts, this book describes the use of metaheuristic applications in the analysis and design of electric power systems. This includes a discussion of optimum energy and commitment of generation (nonrenewable & renewable) and load resources during day-to-day operations and control activities in regulated and competitive market structures, along with transmission and distribution systems. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems begins with an introduction and overview of applications in power and energy systems before moving on to planning and operation, control, and distribution. Further chapters cover the integration of renewable energy and the smart grid and electricity markets. The book finishes with final conclusions drawn by the editors. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems: Explains the application of differential evolution in electric power systems' active power multi-objective optimal dispatch Includes studies of optimization and stability in load frequency control in modern power systems Describes optimal compliance of reactive power requirements in near-shore wind power plants Features contributions from noted experts in the field Ideal for power and energy systems designers, planners, operators, and consultants, Applications of Modern Heuristic Optimization Methods in Power and Energy Systems will also benefit engineers, software developers, researchers, academics, and students.

Numerical Methods & Optimization

Author : Anup Goel
Publisher : Technical Publications
Page : 576 pages
File Size : 40,9 Mb
Release : 2021-01-01
Category : Technology & Engineering
ISBN : 9789333221788

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Numerical Methods & Optimization by Anup Goel Pdf

Numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm. Numerical analysis is the study of algorithms that use numerical approximation for the problems of mathematical analysis. Numerical analysis naturally finds application in all fields of engineering and the physical sciences. Numerical methods are used to approach the solution of the problem and the use of computer improves the accuracy of the solution and working speed. Optimization is the process of finding the conditions that give the maximum or minimum value of a function. For optimization purpose, linear programming technique helps the management in decision making process. This technique is used in almost every functional area of business. This book include flowcharts and programs for various numerical methods by using MATLAB language. My hope is that this book, through its careful explanations of concepts, practical examples and figures bridges the gap between knowledge and proper application of that knowledge.

Practical Optimization Methods

Author : M. Asghar Bhatti
Publisher : Springer Science & Business Media
Page : 721 pages
File Size : 40,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461205012

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Practical Optimization Methods by M. Asghar Bhatti Pdf

This introductory textbook adopts a practical and intuitive approach, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand, and are often written in traditional computer languages, such as Basic, Fortran or Pascal. This book, on the other hand, is the first text to use Mathematica to develop a thorough understanding of optimization algorithms, fully exploiting Mathematica's symbolic, numerical and graphic capabilities.

Introduction to Optimization Methods and their Application in Statistics

Author : B. Everitt
Publisher : Springer Science & Business Media
Page : 88 pages
File Size : 46,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789400931534

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Introduction to Optimization Methods and their Application in Statistics by B. Everitt Pdf

Optimization techniques are used to find the values of a set of parameters which maximize or minimize some objective function of interest. Such methods have become of great importance in statistics for estimation, model fitting, etc. This text attempts to give a brief introduction to optimization methods and their use in several important areas of statistics. It does not pretend to provide either a complete treatment of optimization techniques or a comprehensive review of their application in statistics; such a review would, of course, require a volume several orders of magnitude larger than this since almost every issue of every statistics journal contains one or other paper which involves the application of an optimization method. It is hoped that the text will be useful to students on applied statistics courses and to researchers needing to use optimization techniques in a statistical context. Lastly, my thanks are due to Bertha Lakey for typing the manuscript.

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

Author : Ch. Venkateswarlu,Satya Eswari Jujjavarapu
Publisher : Elsevier
Page : 312 pages
File Size : 45,5 Mb
Release : 2019-11-18
Category : Technology & Engineering
ISBN : 9780128173930

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes by Ch. Venkateswarlu,Satya Eswari Jujjavarapu Pdf

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

Optimization in Industry

Author : T.A.J. Nicholson
Publisher : Routledge
Page : 265 pages
File Size : 48,7 Mb
Release : 2017-09-05
Category : Business & Economics
ISBN : 9781351501392

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Optimization in Industry by T.A.J. Nicholson Pdf

The origin of any industrial optimization study lies in the theory that some improvement can be made in a controllable system. The possibility for improvements may arise in any context, for example, in the control of a chemical plant, the organization of production to meet delivery dates, the design of rubber compounds, in traffic signal settings, and so on. In this volume, T. A. J. Nicholson deals with applications of the industrial optimization techniques demonstrated in the first volume of this two-part project, Optimization in Industry: Optimization Techniques.Applications are classified by their main functional areas in industrial planning, design, and control. The fields covered are machine sequencing, stock control and scheduling, plant renewal, distribution, financial problems, and chemical process control and design. These last two, in particular, are subjects often overlooked in operations research curricula. In each field the place and status of optimization techniques is first described and then a wide range of realistic case studies and examples are reviewed, many of them international. The problems given in this volume are primarily concerned with formulation not with solution; the task is to formulate the problems to be solved by one or more of the methods described in volume one.By connecting the optimization techniques with their applications, the gap between the people devising the methods and the people who actually need to use them is bridged. As with the first volume, this text is also supported by new exercises and model answers making this book important as an introduction to the application of optimization techniques for students as well as a reference work for the practitioner.

Applications of Advanced Optimization Techniques in Industrial Engineering

Author : Abhinav Goel,Anand Chauhan,A. K. Malik
Publisher : CRC Press
Page : 242 pages
File Size : 42,6 Mb
Release : 2022-03-10
Category : Mathematics
ISBN : 9781000544862

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Applications of Advanced Optimization Techniques in Industrial Engineering by Abhinav Goel,Anand Chauhan,A. K. Malik Pdf

This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains. Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world. The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.

Deterministic Global Optimization

Author : Christodoulos A. Floudas
Publisher : Springer Science & Business Media
Page : 741 pages
File Size : 46,5 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475749496

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Deterministic Global Optimization by Christodoulos A. Floudas Pdf

The vast majority of important applications in science, engineering and applied science are characterized by the existence of multiple minima and maxima, as well as first, second and higher order saddle points. The area of Deterministic Global Optimization introduces theoretical, algorithmic and computational ad vances that (i) address the computation and characterization of global minima and maxima, (ii) determine valid lower and upper bounds on the global minima and maxima, and (iii) address the enclosure of all solutions of nonlinear con strained systems of equations. Global optimization applications are widespread in all disciplines and they range from atomistic or molecular level to process and product level representations. The primary goal of this book is three fold : first, to introduce the reader to the basics of deterministic global optimization; second, to present important theoretical and algorithmic advances for several classes of mathematical prob lems that include biconvex and bilinear; problems, signomial problems, general twice differentiable nonlinear problems, mixed integer nonlinear problems, and the enclosure of all solutions of nonlinear constrained systems of equations; and third, to tie the theory and methods together with a variety of important applications.