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Learning in economics : analysis and application of genetic algorithms

Author: Thomas Riechmann
Publisher: Heidelberg [Germany] ; New York : Physica-Verlag, ©2001.
Series: Contributions to economics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Thus, I would like to mention some of my most heavily used software tools in order to let you, the reader, know that nowadays you don't depend on big commercial software packages any more.

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Document Type: Book
All Authors / Contributors: Thomas Riechmann
ISBN: 3790813842 9783790813845
OCLC Number: 123144329
Description: xii, 179 pages : illustrations ; 24 cm.
Contents: pt. I. Introduction. 1. Introduction. 2. The Core Topics: Learning and Computational Economics. 3. An Exemplary Introduction to Structure and Application of Genetic Algorithms in Economic Research --
pt. II. General Analysis of Genetic Algorithms. 4. Methods for the General Analysis of Genetic Algorithms as Economic Learning Techniques. 5. Statistical Aspects of the Analysis of Economic Genetic Algorithms --
pt. III. Economic Applications and Technical Variations. 6. Modifications: Election and Meta-Learning. 7. Extensions: Variable Time Horizon of Selection. 8. Algorithms with Real Valued Coding. 9. A Multi Population Algorithm. 10. Final Remarks.
Series Title: Contributions to economics.
Responsibility: Thomas Riechmann.

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