This 2005 version has been superseded by the 2017 edition of the book, which includes exercises with each chapter, available in full here: http://hdl.handle.net/1813/48159Some exercises require the use of Genetic Algorithms and Artificial Neural Networks and can be solved using the software named GANLC and ANN together with their help files. Instructors can obtain solutions to the exercises by contacting the authors (DPL3@cornell.edu or Eelco.vanbeek@wldelft.nl). A ZIP file of the software is included which can be used after downloading
Keywords: Data-driven Model, Numerical models, Genetic Programming, Artificial neural networks, recr...
A genetic algorithm (GA) was combined with artificial neural networks (ANN), designated as neuro-gen...
This is an Accepted Manuscript of an article published in Hydrological Sciences Journal on MAY 1 201...
published_or_final_versionCivil and Structural EngineeringDoctoralDoctor of Philosoph
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic gene...
<p>Nowadays, we are faced with the complex of process in water resource management. The complexity o...
Water distribution networks are crucial for supplying consumers with quality and adequate water. A w...
The development and application of evolutionary algorithms (EAs) and other metaheuristics for the op...
The development and application of evolutionary algorithms (EAs) and other metaheuristics for the op...
International audienceArtificial Neural Networks (ANNs) have proved to be good modelling tools in hy...
Abstract:-The paper describes the development of a genetic algorithm (GA) formulation by using real ...
In this work, a methodology that combines both simulation and measurements of pressures and discharg...
Water is the most essential commodity required to maintain life. Water supplies in general and water...
The shortage of water resources (WR) directly affects the economic development and ecological enviro...
The application of optimization to Water Distribution Systems encompasses the use of computer-based ...
Keywords: Data-driven Model, Numerical models, Genetic Programming, Artificial neural networks, recr...
A genetic algorithm (GA) was combined with artificial neural networks (ANN), designated as neuro-gen...
This is an Accepted Manuscript of an article published in Hydrological Sciences Journal on MAY 1 201...
published_or_final_versionCivil and Structural EngineeringDoctoralDoctor of Philosoph
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic gene...
<p>Nowadays, we are faced with the complex of process in water resource management. The complexity o...
Water distribution networks are crucial for supplying consumers with quality and adequate water. A w...
The development and application of evolutionary algorithms (EAs) and other metaheuristics for the op...
The development and application of evolutionary algorithms (EAs) and other metaheuristics for the op...
International audienceArtificial Neural Networks (ANNs) have proved to be good modelling tools in hy...
Abstract:-The paper describes the development of a genetic algorithm (GA) formulation by using real ...
In this work, a methodology that combines both simulation and measurements of pressures and discharg...
Water is the most essential commodity required to maintain life. Water supplies in general and water...
The shortage of water resources (WR) directly affects the economic development and ecological enviro...
The application of optimization to Water Distribution Systems encompasses the use of computer-based ...
Keywords: Data-driven Model, Numerical models, Genetic Programming, Artificial neural networks, recr...
A genetic algorithm (GA) was combined with artificial neural networks (ANN), designated as neuro-gen...
This is an Accepted Manuscript of an article published in Hydrological Sciences Journal on MAY 1 201...