Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory Book

Name: Genetic Algorithms: Principles and Perspectives: A Guide to GA Th
Brand: Steidl Publishing
SKU: 9781402072406
Price: 229.44 USD
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Rating: 4.5 (2 reviews)

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Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory, 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 theor, Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory

4.5 out of 5 stars based on 2 reviews

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Written by author Colin R. Reeves
Published by Springer-Verlag New York, LLC, December 2002
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 theor
Reeves (mathematical and information sciences, Coventry U., UK) and Rowe (computer science, U. of Birmingham, UK) describe the traditional theory of schemata and the implications of the no-free-lunch theorem before turning to the different perspectives on

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Book Categories

Authors

1 Introduction 1
2 Basic Principles 19
3 Schema Theory 65
4 No Free Lunch for GAs 95
5 GAs as Markov Processes 111
6 The Dynamical Systems Model 141
7 Statistical Mechanics Approximations 173
8 Predicting GA Performance 201
9 Landscapes 231
10 Summary 265
A Test Problems 287
Bibliography 295
Index 327

Title: Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory

Manufacturer:

Steidl Publishing

Item Number: 9781402072406

Publication Date: December 2002

Number: 1

Product Description: Full Name: Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory; Short Name:Genetic Algorithms

Universal Product Code (UPC): 9781402072406

WonderClub Stock Keeping Unit (WSKU): 9781402072406

Rating: 4.5/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/24/06/9781402072406.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 9.210 cm (3.63 inches)

Heigh : 6.140 cm (2.42 inches)

Depth: 0.810 cm (0.32 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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reviewed Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory on July 04, 2011

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory

Nice pictures, nice explanations. In the books are explained even some other used optimization algorithms

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Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory, 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 theor, Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory

Add Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory, 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 theor, Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory to the inventory that you are selling on WonderClub

Add Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory, 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 theor, Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory to your collection on WonderClub

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory Book

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1	Introduction	1
2	Basic Principles	19
3	Schema Theory	65
4	No Free Lunch for GAs	95
5	GAs as Markov Processes	111
6	The Dynamical Systems Model	141
7	Statistical Mechanics Approximations	173
8	Predicting GA Performance	201
9	Landscapes	231
10	Summary	265
A	Test Problems	287
	Bibliography	295
	Index	327