70
P.A. Whigham . G.ß. Fügel
Rechenberg I (1965) Cybernetic Solution Path of an Experimental Problem, Royal Aircraft
Establishment, Library Translation
Recknagel F, Bobbin J, Whigham P, Wilson H (2002) Comparative application of artificial
neural networks and genetic algorithms for multivariate time series modelling of algal
blooms in freshwater lakes. Journal of Hydroinformatics (in press)
Rizki M, Conrad M (1985) Evolve III: A discrete events model of an evolutionary
ecosystem. BioSystems 18: 121-133
Robertson GG, Riolo RL (1988) A tale of two classifier systems. Machine Learning 3(2,3):
139-159
Rosenberg R (1967) Simulation of Genetic Populations with Biochemical Properties, Univ.
Michigan, Ann Arbor
Rosin CD, Belew RK (1997) New Methods for Competitive Coevolution. Evolutionary
Computation 5(1): 1-29
Sakamoto E, Iba H (2001) Inferring a System of Differential Equations for a Gene
Regulatory Network by using Genetic Programming. IEEE Congress on Evolutionary
Computation, Seoul, Korea, IEEE Piscataway, NJ
Salomonsen J, Jensen J (1996) Use of a lake model to exarnine exergy response to changes
in phytoplankton growth parameters and species composition. Ecological Modelling
87: 41-49
Schwefel HP (1965) Kybernetische Evolution als Strategie der Experimentellen Forschung
in der Strömungstechnik, Technical University of Berlin
Silverton J, Holtier S (1992) Cellular automation models of interspecific competition for
space - the effect ofpauern on process. Journal of Ecology 80: 527-534
Sipper M (1994) Non-Uniform Cellular Automata: Evolution in Rule Space and Formation
of Complex Structures. Artificial Life IV, MIT Press
Smith JM (1982) Evolution and the Theory of Games. Cambridge, Cambridge University
Press
Smith JM, Price GR (1973) The logic of animal conflict. Nature 246: 15-18
StockweIl D, Peters D (1999) The GARP modelling system:problems and solutions to
automated spatial prediction. International Journal of Geographical Information
Science 13(2): 143-158
Svierezhev Y (2000) Thermodynarnics and ecology. Ecological Modelling 132: 11-22
Todorovski L, Dzeroski S (1998) Modelling and prediction of phytoplankton growth with
equation discovery. Ecological Modelling 113: 71-81
Visser ME, Alphen JJMV (1992) Adaptive superparasitism and patch time allocation in
solitary parasitoids: an ESS model. 1. Anim. Ecol. 61: 93-101
Watkinson AR (1987) Plant Population Dynarnics. Plant Ecology. M. 1. Crawley. Oxford,
Blackwell Scientific Publications: 137-184
Whigham PA (1995) Inductive Bias and Genetic Programming. Genetic Algorithms in
Engineering Systems: Innovations and Applications (GALESIA '95): 461-467
Whigham PA (2000) Induction of a marsupial density model using genetic programming
and spatial relationships. Ecological Modelling 131 (2-3): 299-317
Whigham PA, Crapper PF (1999) Time series modelling using genetic programming: An
application to rainfall-runoff models. Advances in Genetic Programming 3. L.
P.A. Whigham . G.ß. Fügel
Rechenberg I (1965) Cybernetic Solution Path of an Experimental Problem, Royal Aircraft
Establishment, Library Translation
Recknagel F, Bobbin J, Whigham P, Wilson H (2002) Comparative application of artificial
neural networks and genetic algorithms for multivariate time series modelling of algal
blooms in freshwater lakes. Journal of Hydroinformatics (in press)
Rizki M, Conrad M (1985) Evolve III: A discrete events model of an evolutionary
ecosystem. BioSystems 18: 121-133
Robertson GG, Riolo RL (1988) A tale of two classifier systems. Machine Learning 3(2,3):
139-159
Rosenberg R (1967) Simulation of Genetic Populations with Biochemical Properties, Univ.
Michigan, Ann Arbor
Rosin CD, Belew RK (1997) New Methods for Competitive Coevolution. Evolutionary
Computation 5(1): 1-29
Sakamoto E, Iba H (2001) Inferring a System of Differential Equations for a Gene
Regulatory Network by using Genetic Programming. IEEE Congress on Evolutionary
Computation, Seoul, Korea, IEEE Piscataway, NJ
Salomonsen J, Jensen J (1996) Use of a lake model to exarnine exergy response to changes
in phytoplankton growth parameters and species composition. Ecological Modelling
87: 41-49
Schwefel HP (1965) Kybernetische Evolution als Strategie der Experimentellen Forschung
in der Strömungstechnik, Technical University of Berlin
Silverton J, Holtier S (1992) Cellular automation models of interspecific competition for
space - the effect ofpauern on process. Journal of Ecology 80: 527-534
Sipper M (1994) Non-Uniform Cellular Automata: Evolution in Rule Space and Formation
of Complex Structures. Artificial Life IV, MIT Press
Smith JM (1982) Evolution and the Theory of Games. Cambridge, Cambridge University
Press
Smith JM, Price GR (1973) The logic of animal conflict. Nature 246: 15-18
StockweIl D, Peters D (1999) The GARP modelling system:problems and solutions to
automated spatial prediction. International Journal of Geographical Information
Science 13(2): 143-158
Svierezhev Y (2000) Thermodynarnics and ecology. Ecological Modelling 132: 11-22
Todorovski L, Dzeroski S (1998) Modelling and prediction of phytoplankton growth with
equation discovery. Ecological Modelling 113: 71-81
Visser ME, Alphen JJMV (1992) Adaptive superparasitism and patch time allocation in
solitary parasitoids: an ESS model. 1. Anim. Ecol. 61: 93-101
Watkinson AR (1987) Plant Population Dynarnics. Plant Ecology. M. 1. Crawley. Oxford,
Blackwell Scientific Publications: 137-184
Whigham PA (1995) Inductive Bias and Genetic Programming. Genetic Algorithms in
Engineering Systems: Innovations and Applications (GALESIA '95): 461-467
Whigham PA (2000) Induction of a marsupial density model using genetic programming
and spatial relationships. Ecological Modelling 131 (2-3): 299-317
Whigham PA, Crapper PF (1999) Time series modelling using genetic programming: An
application to rainfall-runoff models. Advances in Genetic Programming 3. L.