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  • Using the Fast Multi-Objective Genetic Algorithm to Improve the Urban Flood Modeling

    In the present paper, a multi objective optimization approach based in Genetic Algorithm, Design Of Experiments and Response Surface Method strategies, is applied in order to predict the optimal CFD model parameters,

    paper 2013
  • Multi-objective optimization of a complex water distribution network

    The activity presented in this proceeding has been divided into three phases: The first phase focuses on the position on the network of the minimum number of valves, in common with all the scenarios; the second phase deals with the determination of the optimum opening degree of the positioned valves, for every scenery and finally the third phase, which deals with the determination of the found solution robustness in respect of pipes roughness and node demands.

    proceeding 2006
  • Metrics, Meaning, Mumbai

    In the field of architecture, parametric modeling software can produce infinite variations of a building design. But how do we choose between them? Newly-accessible simulation software allows architects to model and measure the performance of buildings—in relation to environmental systems, safety, structure, and flows of air and water.

    paper 2010
  • Multiobjective Optimization on Urban Flooding Using RSM and GA

    Urban flooding due to climate changes, dam breaking and drainage systems being overwhelmed by rainfall causes a huge loss to mankind civilization every year all over the world. 

    proceeding 2011
  • Applications of modeFRONTIER in the water industry

    The presentation provides an overview of the use of modeFRONTIER in conjuction with Infoworks, a software for the analysis and management of distribution network models. modeFRONTIER manages the VisualBasic interface with Infoworks, allowing to modify and examine simulations of different models.

    proceeding 2010

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