Survival of the fittest—genetic algorithms versus evolution strategies in the optimization of systems models

Annevelink, 1992, Operational planning in horticulture: optimal space allocation in pot-plant nurseries using heuristic techniques, Journal of Agricultural Engineering Research, 51, 167, 10.1016/0021-8634(92)80035-Q Bäck, 1993, An overview of evolutionary algorithms for parameter optimization, Evolutionary Computation, 1, 1, 10.1162/evco.1993.1.1.1 Bäck, 1997, Evolutionary computation: comments on the history and current state, IEEE Transactions on Evolutionary Computation, 1, 3, 10.1109/4235.585888 Barioni, 1997, Optimising rotational grazing in sheep management systems, 1068 Blickle, 1997, A comparison of selection schemes used in evolutionary algorithms, Evolutionary Computation, 4, 361, 10.1162/evco.1996.4.4.361 Bos, 1993, Zoning in forest management: a quadratic assignment problem solved by simulated annealing, Journal of Environmental Management, 37, 127, 10.1006/jema.1993.1010 Davis, 1991 De Falco, 1996, Breeder genetic algorithms for airfoil design optimisation, 71 De Jong, 1995, On decentralizing selection algorithms, 17 Eisgruber, L.M., Lee, G.E., 1971. A systems approach to studying the growth of the farm firm. In: Dent, J.B., Anderson, J.R. (Eds.), Systems Analysis in Agricultural Management. WileySydney, pp. 330–347. Fletcher, 1987 Fogel, 1995 Fu, 1994, Optimization via simulation: a review, Annals of Operations Research, 53, 199, 10.1007/BF02136830 Glover, 1990, Tabu search: a tutorial, Interfaces, 20, 74, 10.1287/inte.20.4.74 Goffe, 1994, Global optimization of statistical functions with simulated annealing, Journal of Econometrics, 60, 65, 10.1016/0304-4076(94)90038-8 Goldberg, 1989 Grefenstette, J.J., 1995. A user's guide to the genetic search implementation system (GENESIS, Version 5.0). ftp://www.aic.nrl.navy.mil/pub/galist/src/genesis.tar.Z Hart, 1998, Optimisation techniques for a computer simulation of a pastoral dairy farm, Computers and Electronics in Agriculture, 19, 129, 10.1016/S0168-1699(97)00039-2 Hendrickson, 1988, Comparison of Newton-type and direct search algorithms for calibration of conceptual rainfall–runoff models, Water Resources Research, 24, 691, 10.1029/WR024i005p00691 Hinterding, 1995, The nature of mutation in genetic algorithms, 65 Holmes W.E., 1995. BREEDCOW and DYNAMA—Herd Budgeting Software Package. Queensland Department of Primary Industries, Townsville. Horton, 1996, A method of using a genetic algorithm to examine the optimum structure of the Australian sheep breeding industry: open-breeding systems, MOET and AI, Australian Journal of Experimental Agriculture, 36, 249, 10.1071/EA9960249 Ingber, 1992, Genetic algorithms and very fast simulated reannealing: a comparison, Mathematical and Computer Modelling, 16, 87, 10.1016/0895-7177(92)90108-W Jones, 1995, Crossover, macromutation, and population-based search, 73 Keane, 1996, A brief comparison of some evolutionary optimization methods, 255 Koza, 1994 Le Riche, 1995, A segregated genetic algorithm for constrained structural optimization, 558 Lockwood, 1993, Harvest scheduling with spatial constraints: a simulated annealing approach, Canadian Journal of Forestry Research, 23, 468, 10.1139/x93-065 Mayer, 1996, Use of advanced techniques to optimize a multi-dimensional dairy model, Agricultural Systems, 50, 239, 10.1016/0308-521X(95)00005-P Mayer, D.G., Belward, J.A., Burrage, K., 1998a. Optimizing simulation models of agricultural systems. Annals of Operations Research 82, 219–231. Mayer, D.G., Belward, J.A., Burrage, K., 1998b. Tabu search not an optimal choice for models of agricultural systems. Agricultural Systems 58, 243–251. Mayer, 1999, Performance of genetic algorithms and simulated annealing in the economic optimization of a herd dynamics model, Environment International, 10.1016/S0160-4120(99)00044-6 Mayer, 1991, Efficiency and fractal behaviour of optimisation methods on multiple-optima surfaces, Agricultural Systems, 36, 315, 10.1016/0308-521X(91)90013-Z Michalewicz, 1996 Mühlenbein, 1993, Predictive models for the breeder genetic algorithm, Evolutionary Computation, 1, 25, 10.1162/evco.1993.1.1.25 Mühlenbein, 1994, The science of breeding and its application to the breeder genetic algorithm BGA, Evolutionary Computation, 1, 335, 10.1162/evco.1993.1.4.335 Nelder, 1965, A simplex method for function minimisation, The Computer Journal, 7, 308, 10.1093/comjnl/7.4.308 O'Rourke, 1992 Parsons, 1998, Optimising silage harvesting plans in a grass and grazing simulation using the revised simplex method and a genetic algorithm, Agricultural Systems, 56, 29, 10.1016/S0308-521X(97)00030-9 Peck, 1995, Genetic algorithms as global random search methods: an alternative perspective, Evolutionary Computation, 3, 39, 10.1162/evco.1995.3.1.39 Polyak, 1987 Radcliffe, 1990, Natural solutions give their best, New Scientist, 126, 35 Wang, 1991, The genetic algorithm and its application to calibrating conceptual rainfall–runoff models, Water Resources Research, 27, 2467, 10.1029/91WR01305 Watson, 1997, Maximising the landed value from prawn fisheries using a variation on the simulated annealing algorithm, 864 Widell, H. (1997). GENIAL 1.1. A function optimizer based on evolutionary algorithms—User manual. WWW: http://hjem.get2net.dk/widell/genial.htm Wilde, 1964