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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.
2018
2018
Bayesian optimization is a well known class of derivative-free optimization algorithms mainly used for expensive black-box… 
2014
2014
In this paper, a new Hybrid - genetic algorithm and Hooke-Jeeves method (HGAHJ) is proposed for solving reactive power dispatch… 
2011
2011
In this paper, two different approaches to solve underdetermined nonlinear system of equations are proposed. In one of them, the… 
2011
2011
The performance of Holstein × Indigenous (H×I) crossbred dairy cattle in Iran was considered between 1991 and 2003. Milk, fat… 
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
This paper addresses the problem of bearings only and bearings and extent tracking for closed loop missile guidance systems using… 
2009
2009
In this thesis, optimization is used to improve the performance of aircraft. The focus is on operating current generation… 
2001
2001
The goal of these lectures is to acquaint the audience with a class of nasty optimization problems involving nonconvex nonlinear…