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How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms
(Springer, 2021)
SVM with an RBF kernel is usually one of the best classification algorithms for most data sets, but it is important to tune the two hyperparameters C and γ to the data itself. In general, the selection of the hyperparameters ...
Distributed generation impact evaluation using a multi-objective tabu search
(2009-12-09)
Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive ...
Distributed generation impact evaluation using a multi-objective tabu search
(2009-12-09)
Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive ...
Worst-case Evaluation Complexity For Unconstrained Nonlinear Optimization Using High-order Regularized Models
(Springer HeidelbergHeidelberg, 2017)
A multi-objective evaluation of the impact of the penetration of Distributed Generation
(2011-12-01)
This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective ...
A multi-objective evaluation of the impact of the penetration of Distributed Generation
(2011-12-01)
This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective ...
Placement and sizing evaluation of distributed generation in electric power systems
(2009-11-27)
This paper presents a methodology for the placement and sizing evaluation of distributed generation (DG) in electric power systems. The candidate locations for DG placement are identified on the bases of Locational Marginal ...