Applications of Learning Classifier Systems

✍ Scribed by Larry Bull (auth.), Larry Bull (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004
Tongue: English
Leaves: 308
Series: Studies in Fuzziness and Soft Computing 150
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This carefully edited book brings together a fascinating selection of applications of Learning Classifier Systems (LCS). The book demonstrates the utility of this machine learning technique in recent real-world applications in such domains as data mining, modeling and optimization, and control. It shows how the LCS technique combines and exploits many Soft Computing approaches into a single coherent framework to produce an improved performance over other approaches.

✦ Table of Contents

Front Matter....Pages I-VIII
Learning Classifier Systems: A Brief Introduction....Pages 1-12
Front Matter....Pages 13-13
Data Mining using Learning Classifier Systems....Pages 15-67
NXCS Experts for Financial Time Series Forecasting....Pages 68-91
Encouraging Compact Rulesets from XCS for Enhanced Data Mining....Pages 92-109
Front Matter....Pages 111-111
The Fighter Aircraft LCS: A Real-World, Machine Innovation Application....Pages 113-142
Traffic Balance using Classifier Systems in an Agent based Simulation....Pages 143-166
A Multi-Agent Model of the the UK Market in Electricity Generation....Pages 167-181
Exploring Organizational-Learning Oriented Classifier System in Real-World Problems....Pages 182-200
Front Matter....Pages 201-201
Distributed Routing in Communication Networks using the Temporal Fuzzy Classifier System — a Study on Evolutionary Multi-Agent Control....Pages 203-222
The Development of an Industrial Learning Classifier System for Data-Mining in a Steel Hop Strip Mill....Pages 223-259
Application of Learning Classifier Systems to the On-Line Reconfiguration of Electric Power Distribution Networks....Pages 260-275
Towards Distributed Adaptive Control for Road Traffic Junction Signals using Learning Classifier Systems....Pages 276-299
Back Matter....Pages 300-305

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Control, Robotics, Mechatronics

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