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Natural Selection, Inc. specializes in software solutions which benefit from dynamic optimization through using advanced artificial intelligence (AI) techniques such as Evolutionary Computation (EC) which uses Darwinian concepts of Natural Selection and survival of the fittest. The software performs simulated evolution on a population of individuals which are scored based on their performance to determine the most fit to survive and produce offspring with combinations and mutations in a manner similar to that in nature. Additionally, artificial Neural Networks (NN) with multiple inputs (sensors) and outputs (controls and or decision making determinants) can be used to increase complexity of the behavior of the individuals and the scoring function. The focus of using these methods is to discover optimally performing results in less time and with lower CPU requirements than other methods.
Tim Hays, Senior Staff Scientist, has performed work on projects for Natural Selection, Inc. in several areas of research, funded by various Departments Of Defense (DOD) including: NASA, Army, Air Force as well as the National Science Foundation (NSF), National Institutes of Health (NIH) and some private corporations. Although work performed on many projects was covered under non-disclosure, information on some of the results of such research has been published in various scientific community papers.
Mr. Hays joined Natural Selection, Inc. in 2003 to work on the application of automated evolved pattern recognition tables and object neural networks to improve commercial software products. He was the lead programmer on Evolutionary Checkers Starring Blondie24 (Digenetics, 2001) and Chess with an Attitude! (Digenetics, 2003), and was instrumental in transferring results from the Phase I SBIR project into this chess game, allowing it to play at the level of a human master. Mr. Hays has two patents awarded, both relating to the design and display of intelligent characters in games. Mr. Hays has studied at seven colleges in the areas of Computer Science, VR Design, Physics, Chemistry & Biology, Instrumental Music and Electronics and his hobbies and study interests include Bioscience, Quantum Physics, Astronomy, Anthropology, Photography, Filmography and Special Effects.
Selected Publications:

Fogel DB, Hays TJ, Hahn SL, and Quon J (2006) "The Blondie25 Chess Program Competes Against Fritz 8.0 and a Human Chess Master," Proceedings of 2006 IEEE Symposium on Computational Intelligence & Games, S. Louis and G. Kendall (eds.), IEEE, Reno, NV, pp. 230-235.

Fogel DB, Hays TJ, Johnson, DR (2006) "A Platform for Evolving Intelligently Interactive Adversaries," BioSystems, Vol. 85(1), pp. 72-83.

Fogel DB, Hays TJ, Hahn SL, and Quon J (2005) "Further Evolution of a Self-Learning Chess Program," IEEE 2005 Symposium on Computational Intelligence & Games, G. Kendall and S. Lucas (eds.), Apr. 4-6 2005, Essex, UK, pp. 73-77.

Fogel DB, Hays TJ, Hahn SL, and Quon J (2004) "A Self-Learning Evolutionary Chess Program," Proceedings of the IEEE, Vol.92(12), pp. 1947-1954.

Fogel DB, Hays TJ, Johnson DR (2004) "A Platform for Evolving Characters in Competitive Games," Proceedings of 2004 IEEE Congress on Evolutionary Computation, IEEE Press, Piscataway, NJ, pp. 1420-1426.

Fogel DB and Hays T (2003) "New Results on Evolving Strategies in Chess," Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI, B. Bosacchi, D.B. Fogel, and J.C. Bezdek (chairs), SPIE, Bellingham, WA, pp. 56-63.

For more information please see the NSI Publications Library