Genetic Algorithms And Engineering Optimization

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Genetic Algorithms and Engineering Design

Mitsuo Gen,Runwei Cheng
Genetic Algorithms and Engineering Design Book PDF

Author : Mitsuo Gen,Runwei Cheng
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 47,6 Mb
Release : 1997-01-21
Category : Technology & Engineering
ISBN : 0471127418

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Genetic Algorithms and Engineering Design by Mitsuo Gen,Runwei Cheng Pdf

The last few years have seen important advances in the use ofgenetic algorithms to address challenging optimization problems inindustrial engineering. Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals andtheir use in solving constrained and combinatorial optimizationproblems, the book applies these techniques to problems in specificareas--sequencing, scheduling and production plans, transportationand vehicle routing, facility layout, location-allocation, andmore. Each topic features a clearly written problem description,mathematical model, and summary of conventional heuristicalgorithms. All algorithms are explained in intuitive, rather thanhighly-technical, language and are reinforced with illustrativefigures and numerical examples. Written by two internationally acknowledged experts in the field,Genetic Algorithms and Engineering Design features originalmaterial on the foundation and application of genetic algorithms,and also standardizes the terms and symbols used in othersources--making this complex subject truly accessible to thebeginner as well as to the more advanced reader. Ideal for both self-study and classroom use, this self-containedreference provides indispensable state-of-the-art guidance toprofessionals and students working in industrial engineering,management science, operations research, computer science, andartificial intelligence. The only comprehensive, state-of-the-arttreatment available on the use of genetic algorithms in industrialengineering and operations research . . . Written by internationally recognized experts in the field ofgenetic algorithms and artificial intelligence, Genetic Algorithmsand Engineering Design provides total coverage of currenttechnologies and their application to manufacturing systems.Incorporating original material on the foundation and applicationof genetic algorithms, this unique resource also standardizes theterms and symbols used in other sources--making this complexsubject truly accessible to students as well as experiencedprofessionals. Designed for clarity and ease of use, thisself-contained reference: * Provides a comprehensive survey of selection strategies, penaltytechniques, and genetic operators used for constrained andcombinatorial optimization problems * Shows how to use genetic algorithms to make production schedules,solve facility/location problems, make transportation/vehiclerouting plans, enhance system reliability, and much more * Contains detailed numerical examples, plus more than 160auxiliary figures to make solution procedures transparent andunderstandable

Genetic Algorithms and Engineering Optimization

Mitsuo Gen,Runwei Cheng
Genetic Algorithms and Engineering Optimization Book PDF

Author : Mitsuo Gen,Runwei Cheng
Publisher : John Wiley & Sons
Page : 520 pages
File Size : 48,9 Mb
Release : 1999-12-28
Category : Technology & Engineering
ISBN : 0471315311

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Genetic Algorithms and Engineering Optimization by Mitsuo Gen,Runwei Cheng Pdf

Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Omid Bozorg-Haddad,Mohammad Solgi,Hugo A. Loáiciga
Meta heuristic and Evolutionary Algorithms for Engineering Optimization Book PDF

Author : Omid Bozorg-Haddad,Mohammad Solgi,Hugo A. Loáiciga
Publisher : John Wiley & Sons
Page : 306 pages
File Size : 55,5 Mb
Release : 2017-10-09
Category : Mathematics
ISBN : 9781119386995

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization by Omid Bozorg-Haddad,Mohammad Solgi,Hugo A. Loáiciga Pdf

A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.

Network Models and Optimization

Mitsuo Gen,Runwei Cheng,Lin Lin
Network Models and Optimization Book PDF

Author : Mitsuo Gen,Runwei Cheng,Lin Lin
Publisher : Springer Science & Business Media
Page : 692 pages
File Size : 48,9 Mb
Release : 2008-07-10
Category : Technology & Engineering
ISBN : 9781848001817

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Network Models and Optimization by Mitsuo Gen,Runwei Cheng,Lin Lin Pdf

Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.

Genetic Algorithms and Fuzzy Multiobjective Optimization

Masatoshi Sakawa
Genetic Algorithms and Fuzzy Multiobjective Optimization Book PDF

Author : Masatoshi Sakawa
Publisher : Springer Science & Business Media
Page : 306 pages
File Size : 50,9 Mb
Release : 2002
Category : Business & Economics
ISBN : 0792374525

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Genetic Algorithms and Fuzzy Multiobjective Optimization by Masatoshi Sakawa Pdf

Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this methodology. As a result, genetic algorithms have made a major contribution to optimization, adaptation, and learning in a wide variety of unexpected fields. Over the years, many excellent books in genetic algorithm optimization have been published; however, they focus mainly on single-objective discrete or other hard optimization problems under certainty. There appears to be no book that is designed to present genetic algorithms for solving not only single-objective but also fuzzy and multiobjective optimization problems in a unified way. Genetic Algorithms And Fuzzy Multiobjective Optimization introduces the latest advances in the field of genetic algorithm optimization for 0-1 programming, integer programming, nonconvex programming, and job-shop scheduling problems under multiobjectiveness and fuzziness. In addition, the book treats a wide range of actual real world applications. The theoretical material and applications place special stress on interactive decision-making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The intended readers of this book are senior undergraduate students, graduate students, researchers, and practitioners in the fields of operations research, computer science, industrial engineering, management science, systems engineering, and other engineering disciplines that deal with the subjects of multiobjective programming for discrete or other hard optimization problems under fuzziness. Real world research applications are used throughout the book to illustrate the presentation. These applications are drawn from complex problems. Examples include flexible scheduling in a machine center, operation planning of district heating and cooling plants, and coal purchase planning in an actual electric power plant.

Genetic Algorithms in Electromagnetics

Randy L. Haupt,Douglas H. Werner
Genetic Algorithms in Electromagnetics Book PDF

Author : Randy L. Haupt,Douglas H. Werner
Publisher : John Wiley & Sons
Page : 317 pages
File Size : 40,7 Mb
Release : 2007-04-27
Category : Science
ISBN : 9780470106273

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Genetic Algorithms in Electromagnetics by Randy L. Haupt,Douglas H. Werner Pdf

A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. It offers expert guidance to optimizing electromagnetic systems using genetic algorithms (GA), which have proven to be tenacious in finding optimal results where traditional techniques fail. Genetic Algorithms in Electromagnetics begins with an introduction to optimization and several commonly used numerical optimization routines, and goes on to feature: Introductions to GA in both binary and continuous variable forms, complete with examples of MATLAB(r) commands Two step-by-step examples of optimizing antenna arrays as well as a comprehensive overview of applications of GA to antenna array design problems Coverage of GA as an adaptive algorithm, including adaptive and smart arrays as well as adaptive reflectors and crossed dipoles Explanations of the optimization of several different wire antennas, starting with the famous "crooked monopole" How to optimize horn, reflector, and microstrip patch antennas, which require significantly more computing power than wire antennas Coverage of GA optimization of scattering, including scattering from frequency selective surfaces and electromagnetic band gap materials Ideas on operator and parameter selection for a GA Detailed explanations of particle swarm optimization and multiple objective optimization An appendix of MATLAB code for experimentation

Introduction to Genetic Algorithms

S.N. Sivanandam,S. N. Deepa
Introduction to Genetic Algorithms Book PDF

Author : S.N. Sivanandam,S. N. Deepa
Publisher : Springer Science & Business Media
Page : 442 pages
File Size : 50,5 Mb
Release : 2007-10-24
Category : Technology & Engineering
ISBN : 9783540731900

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Introduction to Genetic Algorithms by S.N. Sivanandam,S. N. Deepa Pdf

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Engineering Optimization

Xin-She Yang
Engineering Optimization Book PDF

Author : Xin-She Yang
Publisher : John Wiley & Sons
Page : 377 pages
File Size : 44,8 Mb
Release : 2010-07-20
Category : Mathematics
ISBN : 9780470640418

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Engineering Optimization by Xin-She Yang Pdf

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Genetic Algorithms

Kim-Fung Man,Kit-Sang Tang,Sam Kwong
Genetic Algorithms Book PDF

Author : Kim-Fung Man,Kit-Sang Tang,Sam Kwong
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781447105770

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Genetic Algorithms by Kim-Fung Man,Kit-Sang Tang,Sam Kwong Pdf

This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.

Intelligent Optimisation Techniques

Duc Pham,D. Karaboga
Intelligent Optimisation Techniques Book PDF

Author : Duc Pham,D. Karaboga
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447107217

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Intelligent Optimisation Techniques by Duc Pham,D. Karaboga Pdf

This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.

Evolutionary Algorithms in Engineering Applications

Dipankar Dasgupta,Zbigniew Michalewicz
Evolutionary Algorithms in Engineering Applications Book PDF

Author : Dipankar Dasgupta,Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 561 pages
File Size : 48,8 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662034231

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Evolutionary Algorithms in Engineering Applications by Dipankar Dasgupta,Zbigniew Michalewicz Pdf

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Omid Bozorg-Haddad,Mohammad Solgi,Hugo A. Loáiciga
Meta heuristic and Evolutionary Algorithms for Engineering Optimization Book PDF

Author : Omid Bozorg-Haddad,Mohammad Solgi,Hugo A. Loáiciga
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 50,5 Mb
Release : 2017-09-05
Category : Mathematics
ISBN : 9781119387060

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization by Omid Bozorg-Haddad,Mohammad Solgi,Hugo A. Loáiciga Pdf

A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.

Genetic Algorithms in Engineering and Computer Science

G. Winter
Genetic Algorithms in Engineering and Computer Science Book PDF

Author : G. Winter
Publisher : Unknown
Page : 486 pages
File Size : 41,7 Mb
Release : 1995
Category : Computers
ISBN : UOM:39015058881213

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Genetic Algorithms in Engineering and Computer Science by G. Winter Pdf

Genetic Algorithms in Engineering and Computer Science Edited by G. Winter University of Las Palmas, Canary Islands, Spain J. Périaux Dassault Aviation, Saint Cloud, France M. Galán P. Cuesta University of Las Palmas, Canary Islands, Spain This attractive book alerts us to the existence of evolution based software — Genetic Algorithms and Evolution Strategies—used for the study of complex systems and difficult optimization problems unresolved until now. Evolution algorithms are artificial intelligence techniques which mimic nature according to the "survival of the fittest" (Darwin’s principle). They randomly encode physical (quantitative or qualitative) variables via digital DNA inside computers and are known for their robustness to better explore large search spaces and find near-global optima than traditional optimization methods. The objectives of this volume are two-fold: to present a compendium of state-of-the-art lectures delivered by recognized experts in the field on theoretical, numerical and applied aspects of Genetic Algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. to provide a bridge between Artificial Intelligence and Scientific Computing in order to increase the performance of evolution programs for solving real life problems. Fluid dynamics, structure mechanics, electromagnetics, automation control, resource optimization, image processing and economics are the featured multi-disciplinary areas among others in Engineering and Applied Sciences where evolution works impressively well. This volume is aimed at graduate students, applied mathematicians, computer scientists, researchers and engineers who face challenging design optimization problems in Industry. They will enjoy implementing new programs using these evolution techniques which have been experimented with by Nature for 3.5 billion years.

Integrated Design and Manufacturing in Mechanical Engineering '98

Jean-Louis Batoz,Patrick Chedmail,Gérard Cognet
Integrated Design and Manufacturing in Mechanical Engineering 98 Book PDF

Author : Jean-Louis Batoz,Patrick Chedmail,Gérard Cognet
Publisher : Springer Science & Business Media
Page : 684 pages
File Size : 43,5 Mb
Release : 1999-11-30
Category : Business & Economics
ISBN : 0792360249

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Integrated Design and Manufacturing in Mechanical Engineering '98 by Jean-Louis Batoz,Patrick Chedmail,Gérard Cognet Pdf

This book is devoted to the optimization of product design and manufacturing. It contains selected and carefully composed articles based on presentations given at the IDMME conference, held in Compiègne University of Technology, France, in 1998. The authors are all involved in cutting-edge research in their respective fields of specialization. The integration of manufacturing constraints and their optimization in the design process is becoming more and more widespread in the development of mechanical products or systems. There is a clear industrial need for these kinds of methodologies. Important - but still unsolved - problems are related to the definition of design processes, the choice of optimal manufacturing processes, and their integration through coherent methodologies in adapted environments. The main topics addressed in this book are: analysis and optimization of mechanical parts and products (computational structural mechanics, optimum design of structures, finite element solvers, computer-aided geometry, modeling and synthesis of mechanisms); analysis and optimization for fabrication and manufacturing systems (modeling of forming processes, modeling for control and measurement, tolerancing and assembly in manufacturing, off-line programming and optimal parameters for machining, robotics, welding); methodological aspects of integrated design and manufacturing (new methodologies for design with constraints, communication tools, training applications, computer-aided manufacturing). Apart from giving a thorough theoretical background, a very important theme is the relation between research and industrial applications. The book is of interest for engineers, researchers and PhD students who are involved in the optimization of design and manufacturing processes.

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

Chis, Monica
Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques Book PDF

Author : Chis, Monica
Publisher : IGI Global
Page : 282 pages
File Size : 53,7 Mb
Release : 2010-06-30
Category : Education
ISBN : 9781615208104

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Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques by Chis, Monica Pdf

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.