Evolutionary Algorithms and Agricultural Systems

Evolutionary Algorithms and Agricultural Systems by David G. Mayer.

Evolutionary Algorithms and Agricultural Systems deals with the practical application of evolutionary algorithms to the study and management of agricultural systems. The rationale of systems research methodology is introduced, and examples listed of real-world applications. It is the integration of...

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Bibliographic Details
Main Author: Mayer, David G. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2002.
Edition:1st ed. 2002.
Series:The Springer International Series in Engineering and Computer Science, 647
Springer eBook Collection.
Subjects:
Artificial intelligence.
Computers.
Calculus of variations.
Agriculture.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Rationale for Systems Modelling
  • Agricultural Systems Models
  • Application of Evolutionary Algorithms to Models
  • Applications of Alternate Optimisation Techniques
  • Comparisons of Optimisation Techniques
  • Robust Parameters for Evolutionary Algorithms
  • Future Developments
  • Appendix 1
  • References.

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