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141222 ||| eng |
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|a 1558606378
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|a 9781558606371
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|a 0585457077
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|a 9780585457079
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|a Jacob, Christian
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|a Principia evolvica
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|a Illustrating evolutionary computation with Mathematica
|h [electronic resource]
|h Elektronische Ressource
|c Christian Jacob ; translated from the German by Christian Jacob
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| 260 |
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|a San Francisco
|b Morgan Kaufmann Pub.
|c 2001, ©2001
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| 300 |
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|a online resource (xvii, 578 pages)
|b illustrations
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|a Includes bibliographical references (pages 527-546) and index
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|a Fascinating Evolution -- Part 2: Evolutionary Computation -- Part 3: If Darwin was a Programmer -- Part 4: Evolution of Developmental Programs
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| 653 |
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|a Mathematica (Computer program language) / fast / (OCoLC)fst01012052
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| 653 |
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|a Evolutionary computation / fast / (OCoLC)fst00917338
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| 653 |
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|a Grafische voorstellingen / gtt
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| 653 |
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|a Mathematica (computerprogramma) / gtt
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| 653 |
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|a Mathematica (Computer program language)
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| 653 |
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|a Evolutionary programming (Computer science) / fast / (OCoLC)fst00917347
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| 653 |
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|a COMPUTERS / Enterprise Applications / Business Intelligence Tools / bisacsh
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| 653 |
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|a COMPUTERS / Intelligence (AI) & Semantics / bisacsh
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| 653 |
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|a Evolutionary computation
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| 653 |
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|a Genetische algoritmen / gtt
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| 653 |
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|a Evolutionary programming (Computer science)
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|a eng
|2 ISO 639-2
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| 989 |
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|b ESD
|a Elsevier ScienceDirect eBooks
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| 490 |
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|a Evolutionary Computation Ser
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| 500 |
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002
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|u http://www.sciencedirect.com/science/book/9781558606371
|x Verlag
|3 Volltext
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|a 006.3/1
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|a 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
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