Ecological Models, Optimization

作者: S. Reis , S. Nitter

DOI: 10.1016/B978-008045405-4.00179-8

关键词: Operations researchComputer scienceVariety (cybernetics)Mathematical modelEcological modellingIndustrial engineeringDevelopment (topology)Optimisation algorithmProblem FormulationsTask (project management)Space (commercial competition)

摘要: In many modelling applications, finding optimal solutions – typically in a vast and complex solution space is core task. This chapter will provide an introduction to selected mathematical models methods, which are available address optimisation problems. To begin with, some exemplary tasks described approaches that have been established solve these be introduced. next step, algorithms for linear non-linear problem formulations briefly discussed. The central part of the discusses design application Genetic Algorithms (GAs), successfully applied variety environmental ecological A specific GAs multi-pollutant multi-effect framework detail. The closes with recommendations development modelling, including bibliography further reading. It needs stated, however, only brief overview possible given limitations space.

参考文章(14)
Gregory J. Pelletier, Steven C. Chapra, Hua Tao, Short communication: QUAL2Kw - A framework for modeling water quality in streams and rivers using a genetic algorithm for calibration Environmental Modelling and Software. ,vol. 21, pp. 419- 425 ,(2006) , 10.1016/J.ENVSOFT.2005.07.002
K. A. Dill, A. T. Phillips, J. B. Rosen, CGU: An Algorithm for Molecular Structure Prediction Large-Scale Optimization with Applications. ,vol. 94, pp. 1- 21 ,(1997) , 10.1007/978-1-4612-0693-4_1
Rajeev Motwani, John E. Hopcroft, Jeffrey D. Ullman, Rotwani, Introduction to Automata Theory, Languages, and Computation ,(1979)
Keith Downing, Using evolutionary computational techniques in environmental modelling Environmental Modelling and Software. ,vol. 13, pp. 519- 528 ,(1998) , 10.1016/S1364-8152(98)00050-4
Tom D’heygere, Peter L.M. Goethals, Niels De Pauw, Genetic algorithms for optimisation of predictive ecosystems models based on decision trees and neural networks Ecological Modelling. ,vol. 195, pp. 20- 29 ,(2006) , 10.1016/J.ECOLMODEL.2005.11.005
L Li, D.A Barry, J Morris, F Stagnitti, CXTANNEAL: an improved program for estimating solute transport parameters Environmental Modelling & Software. ,vol. 14, pp. 607- 611 ,(1999) , 10.1016/S1364-8152(98)00093-0
A CROWE, C MCCLEAN, M CRESSER, An application of genetic algorithms to the robust estimation of soil organic and mineral fraction densities Environmental Modelling and Software. ,vol. 21, pp. 1503- 1507 ,(2006) , 10.1016/J.ENVSOFT.2006.03.001