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Derivative-free optimization

Derivative free optimization (or derivative-free optimization) is a subject of mathematical optimization. It may refer to problems for which… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
In this paper, we will provide an introduction to the derivative-free optimization algorithms which can be potentially applied to… 
2019
2019
Motivated by the goal of improving segmentation of challenging liver cases, which always contain weak boundary with neighboring… 
2018
2018
Bayesian optimization is a well known class of derivative-free optimization algorithms mainly used for expensive black-box… 
2010
2010
As it is well known, the method is quadratic in convergence but its convergence is slow or it fails to converge at all when… 
2010
2010
A novel technique is presented to combine genetic algorithms (GAs) with level-set functions to segment objects with known shapes… 
2010
2010
Research in optimization algorithm design is often accompanied by benchmarking a new algorithm. Some benchmarking is done as a… 
2010
2010
We use the quantile function to define statistical models. In particular, we present a five-parameter version of the generalized… 
2009
2009
In this thesis, optimization is used to improve the performance of aircraft. The focus is on operating current generation… 
Review
2007
Review
2007
In this survey article we give the basic description of the interpolation based derivative free optimization methods and their…