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Genetic Algorithms in Optimisation, Simulation and Modelling : Frontiers in Artificial Intelligence and Applications - Joachim Stender

Genetic Algorithms in Optimisation, Simulation and Modelling

Frontiers in Artificial Intelligence and Applications

By: Joachim Stender (Editor), E. Hillebrand (Editor), J. Klingdon (Editor)

Paperback Published: 1st January 1994
ISBN: 9789051991802
Number Of Pages: 272

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One common criticism of Artificial Intelligence (AI) is the brittleness of the solutions it produces. The suggestion is that AI systems have not scaled well beyond the relatively limited domains to which they have been applied. In recent years there has been a marked trend in the AI community towards real-world applications. Techniques, inspired by AI's wider ambition to produce more intelligent machines, are not only gaining acceptance in other fields of scientific research, but also in areas such as business, commerce and industry. Moreover, there is a tendency for the techniques themselves to be developed, tested and refined within such applications. The contemporary theme seems to be, if a technique represents a genuine advance in software engineering, then by definition it has commercial advantage. Nowhere is this trend more evident than in the application of genetic algorithms (GAs). What has marked out as GAs as compared to other techniques is the surprising speed with which commercial organizations have shown an interest. One of the reasons for this is that GAs seem to offer an extremely effective, general-purpose, means for dealing with both complexity and scale. This book presents a snapshot of some of the GA research taking place within Europe. In summery, the book attempts to emphasise the diversity of the GA approach, by presenting detailed descriptions of GAs used for real-world optimization and for complex modelling problems.

Preface
Introduction to Genetic Algorithm Programming Environmentsp. 1
Development Needs for Diverse Genetic Algorithm Designp. 9
The Theory of Breeding and the Breeder Genetic Algorithmp. 27
The Reproductive Plan Language RPL2: Motivation, Architecture and Applicationsp. 65
Parallel Genetic Approach to Solve Automatic Process Allocation Within Massively Parallel Systemsp. 95
GAME's Parallel Programming Modelp. 111
Genetic Algorithms in Businessp. 157
Genetic Rule Induction for Financial Decision Makingp. 185
Searching Favorable Protein Conformations with a Genetic Algorithm and a Multi-Value Fitness Functionp. 202
Standort 2000: Local Modelling of the Brandenburg Area Using Genetic Algorithmsp. 219
Author Indexp. 261
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9789051991802
ISBN-10: 9051991800
Series: Frontiers in Artificial Intelligence and Applications
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 272
Published: 1st January 1994
Publisher: IOS Press
Country of Publication: US
Dimensions (cm): 17.8 x 25.4  x 1.4
Weight (kg): 0.48
Edition Number: 1