Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54720
Título: Solving economic and environmental optimal control in dumping of sewage with a flexible and parallel evolutionary computation
Autores/as: Winter, G. 
Galván, B.
Gónzalez, B. 
Greiner, D. 
Mansogo, O.
Alonso, S.
Clasificación UNESCO: 1206 Análisis numérico
Fecha de publicación: 2004
Editor/a: Elsevier 
Conferencia: Parallel Computational Fluid Dynamics Conference 
Resumen: We solve a state constrained optimal control problem with parallel implementations of an intelligent optimization system based on evolutionary self-learning named Flexible Evolution Agent. The target of the problem to solve is to find the optimal locations of liquid waste dumping sites in offshore waters, so the concentration of a considered pollutant must not exceed a pre-established value, either at a specific distance from the shore or in different protected areas, as can be fish hatcheries. Simultaneously, we also minimize the investment costs such as hydraulic infrastructures. We consider a 3D finite volumes Taylor-Galerkin version for the pollutant concentration simulation. Numerical results with new parallel evolutionary implementations are shown.
URI: http://hdl.handle.net/10553/54720
ISBN: 0-444-51612-3
DOI: 10.1016/B978-044451612-1/50044-5
Fuente: Parallel Computational Fluid Dynamics 2003: Advanced Numerical Methods, Software and Applications, p. 341-347
Colección:Actas de congresos
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