Sentence examples for rainfall optimization from inspiring English sources

We propose four hybrid meta-heuristics based on three algorithms, namely Tabu Search (TS), Rainfall Optimization (RFO and Random Greedy Search RGSGS).

Using entropy this study performs optimization of rainfall networks that are of similar size located in two big cities in China, Shanghai (in Yangtze River basin) and Xi'an (in Yellow River basin), with respect to temporal variability analysis.

We have formulated the dynamic rainfall monitoring algorithm as a constrained convex optimization problem.

Rainfall-runoff simulation model results are combined to an optimization model based on two-stage stochastic programming approach to model economic land use decisions.

From a design optimization perspective, it is unclear what value of rainfall intensity should be considered in the process.

If the spatial rainfall distribution is physically sparse, then we simply solve the optimization problem of (18) for Ψ t =I.

Rainfall networks are the most direct sources of precipitation data and their optimization and evaluation are essential and important.

This work presents our latest efforts at encoding a celebrated rainfall data set from Boston and shows how a modified particle swarm optimization (PSO) procedure yields compelling solutions to the inverse problem for such a set.

The nonlinear optimization methods are not superior to the linear least squares method when there is only one excess rainfall pulse, but are comparable.

The nonlinear optimization method does not outperform the linear least squares method in determining the UH (especially for excess rainfall of one pulse), but is comparable.

This paper proposes a novel robust optimization (RO) approach along with a two-stage scenario-based stochastic programming to optimize a municipal water distribution system (WDS) under demand and rainfall uncertainties.