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A Heuristic for Optimization of Metaheuristics by Means of Statistical Methods
(Scitepress, 2017-01-01)
The fine-tuning of the algorithms parameters, specially, in metaheuristics, is not always trivial and often is performed by ad hoc methods according to the problem under analysis. Usually, incorrect settings influence both ...
Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms
(Hindawi Ltd, 2017-01-01)
Usually, metaheuristic algorithms are adapted to a large set of problems by applying few modifications on parameters for each specific case. However, this flexibility demands a huge effort to correctly tune such parameters. ...
A statistical approach for the fine-tuning of metaheuristics: A case study combining design of experiments and racing algorithms
(2015-01-01)
The fine-tuning of heuristics and metaheuristics exercises a great influence in both the solution process, as well as in the quality of results of optimization problems. The search for the best fit of these algorithms is ...
Radiative corrections to Lorentz-invariance violation with higher-order operators: Fine-tuning problem revisited
(2014)
We study the possible effects of large Lorentz violations that can appear in the effective models in which the
Lorentz symmetry breakdown is performed with higher-order operators. For this we consider the Myers and ...
A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
(Ieee, 2019-01-01)
In the last few years, several studies have been carried out showing that Functional Electrical Stimulation (FES) and Neuromuscular Electrical Stimulation (NMES) produce good therapeutic results in patients with Spinal ...
A RISE-based controller fine-tuned by an improved genetic algorithm for human lower limb rehabilitation via neuromuscular electrical stimulation
(2019-04-01)
In the last few years, several studies have been carried out showing that Functional Electrical Stimulation (FES) and Neuromuscular Electrical Stimulation (NMES) produce good therapeutic results in patients with Spinal ...
On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks
(2020-01-01)
Machine learning techniques are capable of talking, interpreting, creating, and even reasoning about virtually any subject. Also, their learning power has grown exponentially throughout the last years due to advances in ...
Designing and tuning robust feedforward controllers
(Elsevier, 2004-04)
A model-based design and tuning procedure for feedforward controllers, which accounts for model uncertainties of SISO systems. Proper relationships for the analysis of feedforward-feedback control systems shows that tuning ...