Further Reading

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BackT, Hammel U, and Schwefel H-P (1997) Evolutionary computation: Comments on the history and current state. IEEE Transactions on Evolutionary Computation 1(1): 5-16.

Banzhaf W, Nordin P, Keller RE, and Francone FD (1997) Genetic Programming: An Introduction on the Automatic Evolution of Computer Programs and Its Applications. San Francisco: Morgan Kaufmann.

Bobbin J and Recknagel F (2003) Evolving rules for the prediction and explanation of blue-green algal succession in lakes by evolutionary computation. In: Recknagel F (ed.) Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation, pp. 291-310. New York: Springer.

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Cao H, Recknagel F, Welk A, Kim B, and Takamura N (2006) Hybrid evolutionary algorithm for rule set discovery in time-series data to forecast and explain algal population dynamics in two lakes different in morphometry and eutrophication. In: Recknagel F (ed.) Ecological Informatics, 2nd edn., pp. 330-342. New York: Springer.

Cao H, Recknagel F, JooG-J, and Kim D-K(2006) Rule set discovery for the prediction and explanation of chlorophyll-a dynamics in the Nakdong River (Korea) by means of a hybrid evolutionary algorithm. Ecological Informatics 1: 43-53.

Cao H and Recknagel F (in press) Hybridisation of process-based ecosystem models with evolutionary algorithms: Multi-objective optimisation of process and parameters representations of the lake simulation library SALMO-OO. In: Jorgensen SE, Recknagel F, and Chon TS (eds.) Handbook of Ecological Modeling and Informatics. Southampton, UK: WIT Press.

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Chon T-S, Park YS, Kwak I-S, and Cha EY (2003) Non-linear approach to grouping, dynamics and organizational informatics of benthic macroinvertebrate communities in streams by artificial neural networks. In: Recknagel F (ed.) Ecological Informatics. Scope, Techniques and Applications, 2nd edn., pp. 187-238. New York: Springer.

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