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A hydroinformatician's approach to computational innovation and the design of genetic algorithms
hydroinformatician's approach computational innovation genetic algorithms
2009/12/7
The paper discusses how a computational hydralician got involved in the design, implementation, and application of genetic algorithms - search procedures based on the mechanics of natural selection an...
Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
Comparative application artificial neural networks genetic algorithms time-series modelling
2009/12/4
The paper compares potentials and achievements of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms in Lake Kasumigaura (Japan). Despite the c...
Application of genetic algorithms for optimal seasonal furrow irrigation
Application genetic algorithms optimal seasonal furrow irrigation
2009/12/4
A quasi-optimum irrigation season calendar based on economic profit maximization for sloping and runoff-free furrows can be obtained by OPTIMEC (EConomic OPTIMization, in Spanish), a seasonal furrow i...
Genetic algorithms for real-time operation of multipurpose water resource systems
Genetic algorithms real-time operation multipurpose water resource systems
2009/12/4
This paper deals with the application of genetic algorithms to the operation of a water resource system in real time. A genetic algorithm was developed and applied to solve an optimization model for t...
The Use of Neural Networks and Genetic Algorithms for Design of Groundwater Remediation Schemes
Neural Networks groundwater pollution Groundwater Remediation Schemes
2009/6/8
The increasing incidence of groundwater pollution has led to recognition of a need to develop objective techniques for designing reniediation schemes. This paper outlines one such possibility for dete...
Optimising training data for ANNs with Genetic Algorithms
Artificial Neural Networks Genetic Algorithms rainfall-runoff
2009/5/13
Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training...