Sentence examples for developed constraints from inspiring English sources

Sensitivities of these newly developed constraints are explicitly derived for application of gradient-based optimizers.

To evaluate the ability of our method, we performed a simulation study by using the objective function with and without the newly developed constraints: the parameters in two models of linear and non-linear equations, under the assumption that only one molecule in each model can be measured, were estimated by using a genetic algorithm (GA) and particle swarm optimization (PSO).

To evaluate the ability of the method, they performed a simulation study by using the objective function with and without the newly developed constraints: the parameters in two models of linear and non-linear equations, under the assumption that only one molecule in each model can be measured, were estimated by using a genetic algorithm (GA) and particle swarm optimization (PSO).

For this purpose we have selected 6 formerly developed constraint handling methods for adapting into WSA algorithm and analyze the effect of the used constraint handling method on the performance of the WSA algorithm.

The phenomenological kinetic parameters of the model are estimated by using our recently developed constraint-based, robust nonlinear optimization approach [1].

Inspired by recent advances in graph classification approaches [7, 20, 21, 37], which nest their evaluation criteria into the subgraph mining process and develop constraints to prune the search space, we adopt a similar approach by deriving a different constraint based upon gSide.

Relatively little work has been done in developing constraint-based approaches to structural learning in the presence of missing data.

Benzo[3,4]azepino[1,2-b]isoquinolinones were designed and developed as constraint forms of 3-arylisquinolines with an aim to inhibit topoisomerase I (topo I).

A decision support tool has been developed through constraint programming to optimize patient recruitment, which particularly belongs to online scheduling problems.

In that study we developed a constraint-based modeling framework [ 8], called flux balance analysis with macromolecular crowding (FBAwMC).

In practice, many of the analytical methods that have been developed for constraint-based models focus on defining and characterizing sets of feasible flux distributions.