Illustrating Evolutionary Computation With Mathematica

Illustrating Evolutionary Computation with Mathematica PDF
Author: Christian Jacob
Publisher: Elsevier
ISBN: 0080508456
Size: 51.86 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 578
View: 7035

Get Book

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.

Illustrating Evolutionary Computation With Mathematica

Illustrating Evolutionary Computation with Mathematica PDF
Author: Christian Jacob
Publisher: Morgan Kaufmann
ISBN: 1558606378
Size: 10.36 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 578
View: 5898

Get Book

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.

Evolution Re Algorithmen Und Generative Kunst Evolutionary Computation And Generative Art

Evolution  re Algorithmen und Generative Kunst Evolutionary Computation and Generative Art PDF
Author: Hans-Michael Voigt
Publisher: BoD – Books on Demand
ISBN: 3750477973
Size: 66.73 MB
Format: PDF, ePub, Docs
Category : Art
Languages : de
Pages : 152
View: 3322

Get Book

In diesem Buch wird an einem Schnittpunkt von Informatik, Biowissenschaften und Kunst eine Synthese von Evolutionären Algorithmen und Generativer Kunst im visuellen Bereich verfolgt. Kern des Buches ist eine Galerie mit Bildern zu den Themen Maschinenkunst (Tinguely), Fraktale Welten (Mandelbrot), Zufall und Notwendigkeit (Monod), Implodieren und Explodieren (Meta-Meta-Malewitsch), Innen und Aussen (Meta-Meta-Kandinsky) sowie gesteuerte diversifizierte Replikation. This book represents an attempt of a synthesis of evolutionary computation and generative art in the field of visual art. At the core are such dichotomies as growth and form, persistence and self-similiarity, chance and necessity and a gallery of corresponding images. The gallery comprises the themes machine art (Tinguely), fractal worlds (Mandelbrot), chance and necessity (Monod), imploding and exploding (Meta-Meta-Malevich), inside and outside (Meta-Meta-Kandinsky) as well as controlled diversified repliication.

The Art Of Artificial Evolution

The Art of Artificial Evolution PDF
Author: Juan J. Romero
Publisher: Springer Science & Business Media
ISBN: 3540728767
Size: 34.21 MB
Format: PDF, ePub, Docs
Category : Art
Languages : en
Pages : 458
View: 5874

Get Book

While improvements in computer performance are dramatically changing the computer-generated art industry, scientists in natural computing have teamed up with artists to examine how bioinspired systems can influence art, technology and even aesthetic appreciation. This comprehensive book gives an up-to-date survey of the relevant bioinspired computing research fields – such as evolutionary computation, artificial life, swarm intelligence and ant colony algorithms – and examines applications in art, music and design. The editors and contributors are researchers and artists with deep experience of the related science, tools and applications, and the book includes overviews of historical developments and future perspectives. The book will be of interest to computer scientists and artists engaged with natural computing techniques applied to art, music and design. The book is supported with a dedicated website.

Genetic And Evolutionary Computation Gecco 2003

Genetic and Evolutionary Computation     GECCO 2003 PDF
Author: Erick Cantú-Paz
Publisher: Springer Science & Business Media
ISBN: 3540406034
Size: 36.73 MB
Format: PDF, Docs
Category : Science
Languages : en
Pages : 1280
View: 411

Get Book

The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based software engineering.

Agent Based Evolutionary Search

Agent Based Evolutionary Search PDF
Author: Ruhul A. Sarker
Publisher: Springer Science & Business Media
ISBN: 9783642134258
Size: 28.65 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 291
View: 3852

Get Book

Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.

Genetische Programmierung

Genetische Programmierung PDF
Author: Bernd Ebersberger
Publisher: Springer-Verlag
ISBN: 3663101398
Size: 73.17 MB
Format: PDF, Mobi
Category : Computers
Languages : de
Pages : 312
View: 5299

Get Book

Bernd Ebersberger zeigt, wie die genetische Programmierung, eine Methode aus der künstlichen Intelligenzforschung, zur Erstellung ökonomischer Modelle herangezogen werden kann, um zu wirklichkeitsnäheren Modellen zu gelangen.

Computational Intelligence A Compendium

Computational Intelligence  A Compendium PDF
Author: John Fulcher
Publisher: Springer Science & Business Media
ISBN: 3540782923
Size: 76.68 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 1179
View: 4370

Get Book

Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.

Design By Evolution

Design by Evolution PDF
Author: Philip F. Hingston
Publisher: Springer Science & Business Media
ISBN: 3540741119
Size: 35.91 MB
Format: PDF
Category : Computers
Languages : en
Pages : 352
View: 397

Get Book

Evolution is Nature’s design process. The natural world is full of wonderful examples of its successes, from engineering design feats such as powered flight, to the design of complex optical systems such as the mammalian eye, to the merely stunningly beautiful designs of orchids or birds of paradise. With increasing computational power, we are now able to simulate this process with greater fidelity, combining complex simulations with high-performance evolutionary algorithms to tackle problems that used to be impractical. This book showcases the state of the art in evolutionary algorithms for design. The chapters are organized by experts in the following fields: evolutionary design and "intelligent design" in biology, art, computational embryogeny, and engineering. The book will be of interest to researchers, practitioners and graduate students in natural computing, engineering design, biology and the creative arts.

A Field Guide To Genetic Programming

A Field Guide to Genetic Programming PDF
Author:
Publisher: Lulu.com
ISBN: 1409200736
Size: 65.75 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 233
View: 6079

Get Book

Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.

Ant Colony Optimization And Swarm Intelligence

Ant Colony Optimization and Swarm Intelligence PDF
Author: Marco Dorigo
Publisher: Springer Science & Business Media
ISBN: 3540875263
Size: 67.15 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 416
View: 159

Get Book

The series of biannual international conferences “ANTS – International C- ference on Ant Colony Optimization and Swarm Intelligence”, now in its sixth edition, was started ten years ago, with the organization of ANTS’98. As some readers might recall, the ?rst edition of ANTS was titled “ANTS’98 – From Ant Colonies to Arti?cial Ants: First International Workshop on Ant Colony Op- mization. ” In fact, at that time the focus was mainly on ant colony optimization (ACO), the ?rst swarm intelligence algorithm to go beyond a pure scienti?c interest and to enter the realm of real-world applications. Interestingly, in the ten years after the ?rst edition there has been a gr- ing interest not only for ACO, but for a number of other studies that belong more generally to the area of swarmintelligence. The rapid growth of the swarm intelligence ?eld is attested by a number of indicators. First, the number of s- missions and participants to the ANTS conferences has steadily increased over the years. Second, a number of international conferences in computational - telligence and related disciplines organize workshops on subjects such as swarm intelligence, ant algorithms, ant colony optimization, and particle swarm op- mization. Third, IEEE startedorganizing,in 2003,the IEEE SwarmIntelligence Symposium (in order to maintain unity in this growing ?eld, we are currently establishingacooperationagreementbetweenIEEE SISandANTSsoastohave 1 IEEE SIS in odd years and ANTS in even years). Last, the Swarm Intelligence journal was born.

Evolutionary And Biologically Inspired Music Sound Art And Design

Evolutionary and Biologically Inspired Music  Sound  Art and Design PDF
Author: Penousal Machado
Publisher: Springer
ISBN: 3642291422
Size: 44.84 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 236
View: 4234

Get Book

This book constitutes the refereed proceedings of the First International Conference on Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoApplications. Due to its significant growth in the last 10 years, this 10th EvoMUSART event has become an Evo* conference in 2012. The 15 revised full papers and 5 poster papers presented were carefully reviewed and selected from 43 submissions. They cover a wide range of topics reflecting the current state of research in the field, including theory, generation, computer aided creativity, computational creativity, and automation.

Genetic Programming

Genetic Programming PDF
Author: Maarten Keijzer
Publisher: Springer Science & Business Media
ISBN: 3540213465
Size: 48.36 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 410
View: 310

Get Book

This book constitutes the refereed proceedings of the 7th European Conference on Genetic Programming, EuroGP 2004, held in Coimbra, Portugal, in April 2004. The 38 revised papers presented were carefully reviewed and selected from 61 submissions. The papers deal with a variety of foundational and methodological issues as well as with advanced applications in areas like engineering, computer science, language understanding, bioinformatics, and design.

Foundations Of Genetic Algorithms 2001 Foga 6

Foundations of Genetic Algorithms 2001  FOGA 6  PDF
Author: Worth Martin
Publisher: Elsevier
ISBN: 9780080506876
Size: 58.88 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 342
View: 7562

Get Book

Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. Includes research from academia, government laboratories, and industry Contains high calibre papers which have been extensively reviewed Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field Ideal for researchers in machine learning, specifically those involved with evolutionary computation

Advances In Artificial Life

Advances in Artificial Life PDF
Author: Wolfgang Banzhaf
Publisher: Springer
ISBN: 354039432X
Size: 15.15 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 908
View: 798

Get Book

This book constitutes the refereed proceedings of the 7th European Conference on Artificial Life, ECAL 2003, held in Dortmund, Germany in September 2003. The 96 revised full papers presented were carefully reviewed and selected from more than 140 submissions. The papers are organized in topical sections on artificial chemistries, self-organization, and self-replication; artificial societies; cellular and neural systems; evolution and development; evolutionary and adaptive dynamics; languages and communication; methodologies and applications; and robotics and autonomous agents.