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         Genetics General:     more books (100)
  1. Oxford Desk Reference Clinical Genetics by Jane A. Hurst, 2005-09-01
  2. Genetics and Biology of Alcoholism (Banbury Report) by C. Robert Cloninger, 1990-12-01
  3. Uncertain Peril: Genetic Engineering and the Future of Seeds by Claire Hope Cummings, 2009-03-01
  4. The Genetics of Cattle by R Fries, A Ruvinsky, 1999-12-15
  5. Applied Statistical Genetics with R: For Population-based Association Studies (Use R) by Andrea S. Foulkes, 2009-04-17
  6. Human Genetics (Genetics and Evolution) by Russ Hodge, 2010-01
  7. Genetic Disorders of Human Sexual Development (Oxford Monographs on Medical Genetics) by Leonard Pinsky, Robert P. Erickson, et all 1999-06-17
  8. Medical Genetics for the Modern Clinician by Judith A. Westman, 2005-03-30
  9. Statistical Genetics: Gene Mapping Through Linkage and Association
  10. Population Genetics by Matthew Hamilton, 2009-04-13
  11. Crash Course: Cell Biology and Genetics (Mosby's Crash Course) by Ania L., Ph.D. Manson, 2002-12
  12. Genetic Witness: Science, Law, and Controversy in the Making of DNA Profiling by Jay D. Aronson, 2007-10-11
  13. Introduction to Genetics
  14. Medical Genetics at a Glance by Dorian J. Pritchard, Bruce R. Korf MDPhD, 2007-12-04

101. Teamwork In Genetic Programming
Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.
http://www.lalena.com/ai/ant/

102. GAUL: Genetic Algorithm Utility Library
A programming library designed to aid development of applications that use genetic algorithms.
http://gaul.sourceforge.net/
Home Docs News Resources ... Download Welcome to the GAUL home page GAUL is an open source programming library, released under the GNU General Public License. It is designed to assist in the development of code that requires evolutionary algorithms. Current Version: devel-0.1849 examples-0.1849 Distribution License: GNU General Public License Latest Changes: LatestChanges Development home: http://souceforge.net/projects/gaul On-line documentation: http://gaul.souceforge.net/documentation.html FAQ Stewart Adcock Introduction The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for serial and parallel evolutionary algorithms. Additional stochastic algorithms are provided for comparison to the genetic algorithms. Much of the functionality is also available through a simple S-Lang interface.
  • Darwinian, Lamarckian or Baldwinian evolutionary schemes.

103. Kanpur Genetic Algorithms Laboratory
Contains information about Kanpur Genetic Algorithms Laboratory and papers published by researchers here.
http://www.iitk.ac.in/kangal

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