Illustrating Evolutionary Computation with Mathematica

Illustrating Evolutionary Computation with Mathematica
Author: Christian Jacob
Publsiher: Morgan Kaufmann
Total Pages: 578
Release: 2001
Genre: Computers
ISBN: 9781558606371

Download Illustrating Evolutionary Computation with Mathematica Book in PDF, Epub and Kindle

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.

The Art of Artificial Evolution

The Art of Artificial Evolution
Author: Juan Romero,Juan J. Romero,Penousal Machado
Publsiher: Springer Science & Business Media
Total Pages: 458
Release: 2008
Genre: Art
ISBN: 9783540728764

Download The Art of Artificial Evolution Book in PDF, Epub and Kindle

Art is the Queen of all sciences communicating knowledge to all the generations of the world. Leonardo da Vinci Artistic behavior is one of the most valued qualities of the human mind. Although artistic manifestations vary from culture to culture, dedication to artistic tasks is common to all. In other words, artistic behavior is a universal trait of the human species. The current, Western de?nition of art is relatively new. However, a d- ication to artistic endeavors — such as the embellishment of tools, body - namentation, or gathering of unusual, arguably aesthetic, objects — can be traced back to the origins of humanity. That is, art is ever-present in human history and prehistory. Artandsciencesharealongandenduringrelationship.Thebest-known- ample of the explorationof this relationship is probably the work of Leonardo da Vinci. Somewhere in the 19th century art and science grew apart, but the cross-transfer of concepts between the two domains continued to exist. Currently, albeit the need for specialization, there is a growing interest in the exploration of the connections between art and science. Focusingoncomputerscience,itisinterestingtonoticethatearlypioneers of this discipline such as Ada Byron and Alan Turing showed an interest in using computational devices for art-making purposes. Oddly, in spite of this early interest and the ubiquity of art, it has received relatively little attention fromthe computersciencecommunityingeneral,and,moresurprisingly,from the arti?cial intelligence community.

Genetic and Evolutionary Computation GECCO 2003

Genetic and Evolutionary Computation     GECCO 2003
Author: Erick Cantú-Paz,James A. Foster,Kalyanmoy Deb,Lawrence David Davis,Rajkumar Roy,Una-May O'Reilly,Hans-Georg Beyer,Russel Standish,Graham Kendall,Stewart Wilson,Joachim Wegener,Dipankar Dasgupta,Mitchell A. Potter,Alan C. Schultz
Publsiher: Springer Science & Business Media
Total Pages: 1280
Release: 2003-06-30
Genre: Science
ISBN: 9783540406037

Download Genetic and Evolutionary Computation GECCO 2003 Book in PDF, Epub and Kindle

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
Author: Ruhul A. Sarker,Tapabrata Ray
Publsiher: Springer Science & Business Media
Total Pages: 291
Release: 2010-07-12
Genre: Technology & Engineering
ISBN: 9783642134258

Download Agent Based Evolutionary Search Book in PDF, Epub and Kindle

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.

Design by Evolution

Design by Evolution
Author: Philip F. Hingston,Luigi C. Barone,Zbigniew Michalewicz
Publsiher: Springer Science & Business Media
Total Pages: 352
Release: 2008-09-30
Genre: Computers
ISBN: 9783540741114

Download Design by Evolution Book in PDF, Epub and Kindle

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.

Computational Intelligence A Compendium

Computational Intelligence  A Compendium
Author: John Fulcher
Publsiher: Springer Science & Business Media
Total Pages: 1179
Release: 2008-06-16
Genre: Computers
ISBN: 9783540782926

Download Computational Intelligence A Compendium Book in PDF, Epub and Kindle

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.

Evolutionary and Biologically Inspired Music Sound Art and Design

Evolutionary and Biologically Inspired Music  Sound  Art and Design
Author: Penousal Machado,Juan J. Romero,Adrian Carballal
Publsiher: Springer
Total Pages: 236
Release: 2012-03-23
Genre: Computers
ISBN: 9783642291425

Download Evolutionary and Biologically Inspired Music Sound Art and Design Book in PDF, Epub and Kindle

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.

A Field Guide to Genetic Programming

A Field Guide to Genetic Programming
Author: Anonim
Total Pages: 233
Release: 2008
Genre: Computers
ISBN: 9781409200734

Download A Field Guide to Genetic Programming Book in PDF, Epub and Kindle

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 for more information on the book.