By Matthias Schmidt
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Also the fitness function checks only if c satisfies the conditions and not if the actual value is equal, thus the search space is open for many possible solutions. 1 population cycles on average. Although these tests are quite successful, it is obvious, that this is not very practical. For each simple automatically generated function a programmer would need to specify a very specific test, function header, function footer. Tests for genetic algorithms need to be specific in the values they return.
Mathematical Epidemiology. Springer, ISBN 978-3-540-78910-9, Berlin. Capasso, Vincenzo (2008). Mathematical Structures of Epidemic Systems. Springer, ISBN 978-3540-56526-0, Berlin. , Davinson (2009). World Congress on Engineering and Computer Science. Proceedings of the World Congress on Engineering and Computer Science 2009 Vol I. pp. 36-40, ISBN 978-988-17012-6-8, San Francisco USA, October 2009. ; Bettencourt, Luis M. A. & Castillo-Chavez, Carlos (2009). Mathematical and Statistical Estimation Approaches in Epidemiology.
This research was support by the Logic and Computation group at EAFIT University. 7. References Baker, Robert (2007). EPIDEMIC: The Past, Present and Future of the Diseases that Made Us. Satin Publications Ltd, ISBN 978-1-905745-08-1, London. Bellomo, Nicola (2008). Mathematical Modeling of Biological Systems, Volume II. Birkhäuser, ISBN 978-0-8176-4555-7, Berlin. Bollet, Alfred J. (2004). Plagues & Poxes: The Impact of Human History on Epidemic Disease. Demos, ISBN 1-888799-79-X, New York. Bonita, Ruth; Beaglehole, Robert & Kjellström, Tord (2006).
Advances in Computer Science and Engineering by Matthias Schmidt