Genetic Algorithms In Electromagnetics

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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 : 45,8 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

Electromagnetic Optimization by Genetic Algorithms

Yahya Rahmat-Samii,Eric Michielssen
Electromagnetic Optimization by Genetic Algorithms Book PDF

Author : Yahya Rahmat-Samii,Eric Michielssen
Publisher : Wiley-Interscience
Page : 522 pages
File Size : 49,6 Mb
Release : 1999-07-23
Category : Science
ISBN : UOM:39015047594992

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Electromagnetic Optimization by Genetic Algorithms by Yahya Rahmat-Samii,Eric Michielssen Pdf

Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an optimization methodology that allows a global search of the cost surface via statistical random processes dictated by the Darwinian evolutionary concept. These easily programmed and readily implemented procedures robustly locate extrema of highly multimodal functions and therefore are particularly well suited to finding solutions to a broad range of electromagnetic optimization problems. Electromagnetic Optimization by Genetic Algorithms is the first book devoted exclusively to the application of genetic algorithms to electromagnetic device design. Compiled by two highly competent and well-respected members of the electromagnetics community, this book describes numerous applications of genetic algorithms to the design and optimization of various low- and high-frequency electromagnetic components. Special features include: * Introduction by David E. Goldberg, "A Meditation on the Application of Genetic Algorithms" * Design of linear and planar arrays using genetic algorithms * Application of genetic algorithms to the design of broadband, wire, and integrated antennas * Genetic algorithm-driven design of dielectric gratings and frequency-selective surfaces * Synthesis of magnetostatic devices using genetic algorithms * Application of genetic algorithms to multiobjective electromagnetic backscattering optimization * A comprehensive list of the up-to-date references applicable to electromagnetic design problems Supplemented with more than 250 illustrations, Electromagnetic Optimization by Genetic Algorithms is a powerful resource for electrical engineers interested in modern electromagnetic designs and an indispensable reference for university researchers.

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 : 44,5 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.

Genetic Algorithms and Genetic Programming

Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham
Genetic Algorithms and Genetic Programming Book PDF

Author : Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham
Publisher : CRC Press
Page : 395 pages
File Size : 41,6 Mb
Release : 2009-04-09
Category : Computers
ISBN : 9781420011326

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Genetic Algorithms and Genetic Programming by Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham Pdf

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al

Emerging Evolutionary Algorithms for Antennas and Wireless Communications

Sotirios K. Goudos
Emerging Evolutionary Algorithms for Antennas and Wireless Communications Book PDF

Author : Sotirios K. Goudos
Publisher : IET
Page : 341 pages
File Size : 54,7 Mb
Release : 2021-04-16
Category : Technology & Engineering
ISBN : 9781785615528

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Emerging Evolutionary Algorithms for Antennas and Wireless Communications by Sotirios K. Goudos Pdf

This book presents some of the emerging evolutionary algorithms (EAs) and their variants. It presents design cases of different EAs applied to popular design problems in antennas and wireless communications. The book contains both cases of single and multi-objective optimization.

Practical Genetic Algorithms

Randy L. Haupt,Sue Ellen Haupt
Practical Genetic Algorithms Book PDF

Author : Randy L. Haupt,Sue Ellen Haupt
Publisher : John Wiley & Sons
Page : 273 pages
File Size : 43,9 Mb
Release : 2004-07-30
Category : Technology & Engineering
ISBN : 9780471671756

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Practical Genetic Algorithms by Randy L. Haupt,Sue Ellen Haupt Pdf

* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition

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 : 43,5 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.

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 : 46,9 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.

Genetic Algorithms in Applications

Rustem Popa
Genetic Algorithms in Applications Book PDF

Author : Rustem Popa
Publisher : BoD – Books on Demand
Page : 332 pages
File Size : 45,7 Mb
Release : 2012-03-21
Category : Computers
ISBN : 9789535104001

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Genetic Algorithms in Applications by Rustem Popa Pdf

Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.

Artificial Intelligence Methods in the Environmental Sciences

Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Artificial Intelligence Methods in the Environmental Sciences Book PDF

Author : Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 40,7 Mb
Release : 2008-11-28
Category : Science
ISBN : 9781402091193

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Artificial Intelligence Methods in the Environmental Sciences by Sue Ellen Haupt,Antonello Pasini,Caren Marzban Pdf

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Genetic Programming Theory and Practice II

Una-May O'Reilly,Tina Yu,Rick Riolo,Bill Worzel
Genetic Programming Theory and Practice II Book PDF

Author : Una-May O'Reilly,Tina Yu,Rick Riolo,Bill Worzel
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 45,9 Mb
Release : 2006-03-16
Category : Computers
ISBN : 9780387232546

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Genetic Programming Theory and Practice II by Una-May O'Reilly,Tina Yu,Rick Riolo,Bill Worzel Pdf

The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, 13-15 May 2004. The goal of this workshop series is to promote the exchange of research results and ideas between those who focus on Genetic Programming (GP) theory and those who focus on the application of GP to various re- world problems. In order to facilitate these interactions, the number of talks and participants was small and the time for discussion was large. Further, participants were asked to review each other's chapters before the workshop. Those reviewer comments, as well as discussion at the workshop, are reflected in the chapters presented in this book. Additional information about the workshop, addendums to chapters, and a site for continuing discussions by participants and by others can be found at http://cscs.umich.edu:8000/GPTP-20041. We thank all the workshop participants for making the workshop an exciting and productive three days. In particular we thank all the authors, without whose hard work and creative talents, neither the workshop nor the book would be possible. We also thank our keynote speakers Lawrence ("Dave") Davis of NuTech Solutions, Inc., Jordan Pollack of Brandeis University, and Richard Lenski of Michigan State University, who delivered three thought-provoking speeches that inspired a great deal of discussion among the participants.

Genetic Algorithms: Principles and Perspectives

Colin R. Reeves,Jonathan E. Rowe
Genetic Algorithms Principles and Perspectives Book PDF

Author : Colin R. Reeves,Jonathan E. Rowe
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 49,9 Mb
Release : 2006-04-11
Category : Computers
ISBN : 9780306480508

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Genetic Algorithms: Principles and Perspectives by Colin R. Reeves,Jonathan E. Rowe Pdf

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.

Practical Handbook of Genetic Algorithms

Lance D. Chambers
Practical Handbook of Genetic Algorithms Book PDF

Author : Lance D. Chambers
Publisher : CRC Press
Page : 592 pages
File Size : 41,8 Mb
Release : 2019-09-17
Category : Computers
ISBN : 9781420050080

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Practical Handbook of Genetic Algorithms by Lance D. Chambers Pdf

Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti

Real-World Applications of Genetic Algorithms

Olympia Roeva
Real World Applications of Genetic Algorithms Book PDF

Author : Olympia Roeva
Publisher : BoD – Books on Demand
Page : 379 pages
File Size : 51,6 Mb
Release : 2012-03-07
Category : Computers
ISBN : 9789535101468

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Real-World Applications of Genetic Algorithms by Olympia Roeva Pdf

The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc.

Hybrid Evolutionary Algorithms

Crina Grosan,Ajith Abraham,Hisao Ishibuchi
Hybrid Evolutionary Algorithms Book PDF

Author : Crina Grosan,Ajith Abraham,Hisao Ishibuchi
Publisher : Springer
Page : 404 pages
File Size : 46,7 Mb
Release : 2007-08-29
Category : Computers
ISBN : 9783540732976

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Hybrid Evolutionary Algorithms by Crina Grosan,Ajith Abraham,Hisao Ishibuchi Pdf

This edited volume is targeted at presenting the latest state-of-the-art methodologies in "Hybrid Evolutionary Algorithms". The chapters deal with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. Overall, the book has 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. The contributions were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.