Sentence examples for by a penalty function from inspiring English sources

The transiently chaotic dynamics are defined after the energy function is constructed by a penalty function approach.

This research investigates the first implementation of a prevailing bio-inspired metaheuristic called the cuckoo optimization algorithm which is powered by a penalty function (PFCOA) for solving the CHPED problem.

Constraints on the distribution parameters are imposed by a penalty function (e.g. setting a large but finite penalty coefficient outside the required bounds of the function).

This technique can be seen as an extension of SVM where the complexity of the classifier is controlled by a penalty function similar to the one used in the fused lasso method to enforce sparsity and similarity between successive features (Tibshirani et al., 2005).

Soft constraint formulation The problem ((mathcal {P}_{A})) is recast as an unconstrained optimal control problem by adding a penalty function to the cost functional defined by (34).

SVM can deal with the problems that can not be linearly separated in the original input space by adding a penalty function of violation of the constraints to the optimization criterion or by transforming the input space into a higher dimension space.

The smoothing stabilization task following this problem formulation is solved by simply adding a penalty function to the cost function of the optimization problem.

It suggests that the NaS has more economic efficiency than other two types of ESS. 3) Case 3. To reflect the influence of optimal operation on the planning scheme, besides the total costs as (22), the daily average level of peak load shaving, shown as (40), is added into the objective function of the upper level by means of a penalty function.

The fitness of each individual is determined by the turbine efficiency and a penalty function containing the constraints.

A penalty function approach by embodying a simulated annealing method is used to test the models for a network example.

Both non-linear optimization problems with constraints are solved by the downhill simplex method including a penalty function.