Experimental Research In Evolutionary Computation

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Experimental Research in Evolutionary Computation

Author : Thomas Bartz-Beielstein
Publisher : Springer Science & Business Media
Page : 221 pages
File Size : 44,7 Mb
Release : 2006-05-09
Category : Computers
ISBN : 9783540320272

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Experimental Research in Evolutionary Computation by Thomas Bartz-Beielstein Pdf

This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.

Advances in Evolutionary Computing

Author : Ashish Ghosh,Shigeyoshi Tsutsui
Publisher : Springer Science & Business Media
Page : 1001 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642189654

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Advances in Evolutionary Computing by Ashish Ghosh,Shigeyoshi Tsutsui Pdf

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Evolutionary Statistical Procedures

Author : Roberto Baragona,Francesco Battaglia,Irene Poli
Publisher : Springer Science & Business Media
Page : 283 pages
File Size : 51,7 Mb
Release : 2011-01-03
Category : Computers
ISBN : 9783642162183

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Evolutionary Statistical Procedures by Roberto Baragona,Francesco Battaglia,Irene Poli Pdf

This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science.

Evolutionary Computation

Author : Xin Yao
Publisher : World Scientific
Page : 384 pages
File Size : 43,7 Mb
Release : 1999
Category : Science
ISBN : 9810223064

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Evolutionary Computation by Xin Yao Pdf

Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting.

Introduction to Evolutionary Computing

Author : Agoston E. Eiben,J.E. Smith
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 52,9 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662050941

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Introduction to Evolutionary Computing by Agoston E. Eiben,J.E. Smith Pdf

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Evolutionary Computation for Modeling and Optimization

Author : Daniel Ashlock
Publisher : Springer Science & Business Media
Page : 578 pages
File Size : 53,5 Mb
Release : 2006-04-04
Category : Computers
ISBN : 9780387319094

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Evolutionary Computation for Modeling and Optimization by Daniel Ashlock Pdf

Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

Applications of Evolutionary Computing

Author : Stefano Cagnoni,Jens Gottlieb,Emma Hart,Martin Middendorf,Günther R. Raidl
Publisher : Springer
Page : 346 pages
File Size : 41,6 Mb
Release : 2003-07-31
Category : Computers
ISBN : 9783540460046

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Applications of Evolutionary Computing by Stefano Cagnoni,Jens Gottlieb,Emma Hart,Martin Middendorf,Günther R. Raidl Pdf

This book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002. The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning.

Evolutionary Computation in Combinatorial Optimization

Author : Jens Gottlieb
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 40,9 Mb
Release : 2004-03-26
Category : Computers
ISBN : 9783540213673

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Evolutionary Computation in Combinatorial Optimization by Jens Gottlieb Pdf

This book constitutes the refereed proceedings for the 4th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2004, held in Coimbra, Portugal, in April together with EuroGP 2004 and six workshops on evolutionary computing. The 23 revised full papers presented were carefully reviewed and selected from 86 submissions. Among the topics addressed are evolutionary algorithms as well as metaheuristics like memetic algorithms, ant colony optimization, and scatter search; the papers are dealing with representations, operators, search spaces, adaptation, comparison of algorithms, hybridization of different methods, and theory. Among the combinatorial optimization problems studied are graph coloring, network design, cutting, packing, scheduling, timetabling, traveling salesman, vehicle routing, and various other real-world applications.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation

Author : Samuelson Hong, Wei-Chiang
Publisher : IGI Global
Page : 357 pages
File Size : 49,7 Mb
Release : 2013-03-31
Category : Computers
ISBN : 9781466636293

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Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation by Samuelson Hong, Wei-Chiang Pdf

Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.

Evolutionary Computation and Complex Networks

Author : Jing Liu,Hussein A. Abbass,Kay Chen Tan
Publisher : Springer
Page : 148 pages
File Size : 46,7 Mb
Release : 2018-09-22
Category : Technology & Engineering
ISBN : 9783319600000

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Evolutionary Computation and Complex Networks by Jing Liu,Hussein A. Abbass,Kay Chen Tan Pdf

This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

Evolutionary Algorithms for Solving Multi-Objective Problems

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 49,6 Mb
Release : 2007-08-26
Category : Computers
ISBN : 9780387367972

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen Pdf

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

Illustrating Evolutionary Computation with Mathematica

Author : Christian Jacob
Publisher : Elsevier
Page : 605 pages
File Size : 53,6 Mb
Release : 2001-02-23
Category : Computers
ISBN : 9780080508450

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Illustrating Evolutionary Computation with Mathematica by Christian Jacob Pdf

An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary computation, the book also explores the application of evolution to developmental processes in nature, such as the growth processes in cells and plants. If you are a newcomer to the evolutionary computation field, an engineer, a programmer, or even a biologist wanting to learn how to model the evolution and coevolution of plants, this book will provide you with a visually rich and engaging account of this complex subject. * Introduces the major mechanisms of biological evolution. * Demonstrates many fascinating aspects of evolution in nature with simple, yet illustrative examples. * Explains each of the major branches of evolutionary computation: genetic algorithms, genetic programming, evolutionary programming, and evolution strategies. * Demonstrates the programming of computers by evolutionary principles using Evolvica, a genetic programming system designed by the author. * Shows in detail how to evolve developmental programs modeled by cellular automata and Lindenmayer systems. * Provides Mathematica notebooks on the Web that include all the programs in the book and supporting animations, movies, and graphics.

Industrial Applications of Evolutionary Algorithms

Author : Ernesto Sanchez,Giovanni Squillero,Alberto Tonda
Publisher : Springer Science & Business Media
Page : 137 pages
File Size : 40,7 Mb
Release : 2012-01-28
Category : Technology & Engineering
ISBN : 9783642274671

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Industrial Applications of Evolutionary Algorithms by Ernesto Sanchez,Giovanni Squillero,Alberto Tonda Pdf

"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems. The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject. After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation. The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading.

Parameter Setting in Evolutionary Algorithms

Author : F.J. Lobo,Cláudio F. Lima,Zbigniew Michalewicz
Publisher : Springer
Page : 318 pages
File Size : 51,5 Mb
Release : 2007-04-03
Category : Technology & Engineering
ISBN : 9783540694328

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Parameter Setting in Evolutionary Algorithms by F.J. Lobo,Cláudio F. Lima,Zbigniew Michalewicz Pdf

One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.

Applications of Evolutionary Computation

Author : Cecilia Di Chio
Publisher : Springer
Page : 542 pages
File Size : 55,9 Mb
Release : 2011-04-27
Category : Computers
ISBN : 9783642205200

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Applications of Evolutionary Computation by Cecilia Di Chio Pdf

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMNET, EvoFIN, EvoIHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOC. The 51 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.