Evolutionary computation in zoology and ecology

Current Zoology
Randall B Boone

Abstract

Evolutionary computational methods have adopted attributes of natural selection and evolution to solve problems in computer science, engineering, and other fields. The method is growing in use in zoology and ecology. Evolutionary principles may be merged with an agent-based modeling perspective to have individual animals or other agents compete. Four main categories are discussed: genetic algorithms, evolutionary programming, genetic programming, and evolutionary strategies. In evolutionary computation, a population is represented in a way that allows for an objective function to be assessed that is relevant to the problem of interest. The poorest performing members are removed from the population, and remaining members reproduce and may be mutated. The fitness of the members is again assessed, and the cycle continues until a stopping condition is met. Case studies include optimizing: egg shape given different clutch sizes, mate selection, migration of wildebeest, birds, and elk, vulture foraging behavior, algal bloom prediction, and species richness given energy constraints. Other case studies simulate the evolution of species and a means to project shifts in species ranges in response to a changing climate that includes compe...Continue Reading

References

Jul 1, 1997·Evolutionary Computation·R Salustowicz, J Schmidhuber
Jul 12, 2002·Nature·Benjamin KerrBrendan J M Bohannan
Aug 29, 2002·Proceedings of the National Academy of Sciences of the United States of America·Kellar AutumnRobert J Full
May 31, 2003·Nature Materials·A K GeimS Yu Shapoval
May 17, 2006·Trends in Ecology & Evolution·Steven L Peck
Sep 21, 2011·PloS One·Brian J DermodyAndrew L Jackson
Jan 8, 2014·Ecology Letters·Allen H Hurlbert, James C Stegen
Jun 1, 1996·Evolution; International Journal of Organic Evolution·Günter P Wagner, Lee Altenberg

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Software Mentioned

RFreak
DEoptum
rgp
rgenoud
NetLogo
BIOCLIM
Genetic Algorithm for Rule - set Production ( GARP ) Modeling ...
R
MaxEnt
GA

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