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Rosenbrock function

Known as: Generalized Rosenbrock function, Rosenbrock's function, Rosenbrock's valley 
In mathematical optimization, the Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms… 
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Related topics

Related topics

11 relations
Adaptive coordinate descentAlgorithmConvex functionEvolutionary algorithm

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Clustering using artificial bee colony on CUDA
Artificial bee colony is a meta-heuristic optimization algorithm based on the behavior of honey bee swarm. These bees work… 
2013
2013
Modified Bayesian Optimization Algorithm for Sparse Linear Antenna Design
In this paper, a modifled Bayesian Optimization Algo- rithm (BOA), named M-BOA, is proposed to introduce a suitable mu- tation… 
2012
2012
A massively parallel reconfigurable co-processor for computationally demanding Particle Swarm Optimization
The Particle Swarm Optimization or PSO is a heuristic based on a population of individuals, in which the candidates for a… 
2011
2011
Evaluation of Seed Throwing Optimization Meta Heuristic in Terms of Performance and Parallelizability
Seed Throwing Optimization is an easy to implement probabilistic metaheuristic for multimodal function optimization with roots in… 
2009
2009
Using artificial physics to solve global optimization problems
Heuristics are quite an effective kind of methods to solve global optimization problems, which utilizes sample solution(s… 
2008
2008
Probabilistic Optimization Algorithms for numerical function optimization problems
This paper proposes a novel optimization algorithm called cellular probabilistic optimization algorithms (CPOA) based on the… 
2008
2008
Magnetic Optimization Algorithms, a New Synthesis
2007
2007
EChem++ - An object-oriented problem solving environment for electrochemistry. Part 6. Adaptive finite element simulations of controlled-current electrochemical experiments
2006
2006
EIS simulations for ion-selective site-based membranes by a numerical solution of the coupled Nernst–Planck–Poisson equations
2006
2006
Accurate numerical partials with applications to optimization
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