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MCS algorithm

Multilevel Coordinate Search (MCS) is an algorithm for bound constrained global optimization using function values only. To do so, the n-dimensional… 
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Related topics

Related topics

7 relations
AlgorithmBRST algorithmCMA-ESDerivative-free optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Derivative-Free Augmented Lagrangian for Global Optimization: Cost Minimization in a Simplified Activated Sludge System Model
A methodology for finding the optimal values of the decision variables from an efficient simplified mathematical model of an… 
2015
2015
A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm
An improved "three steps" mountain-climb searching (MCS) algorithm is proposed which is applied to auto-focusing for microscopic… 
2014
2014
EXPERIÊNCIA NUMÉRICA NA MAXIMIZAÇÃO DA PRODUÇÃO E RECEITA AGRÍCOLA DO MELOEIRO E DA ALFACE AMERICANA
Neste trabalho apresenta-se um procedimento computacional para determinar a solucao otima da combinacao insumo-produto que… 
2013
2013
Deconstructing Queue-Based Mutual Exclusion
We formulate a modular approach to the design and analysis of a particular class of mutual exclusion algorithms for shared memory… 
2010
2010
Automatic shell clustering using a metaheuristic approach
This paper proposes a simple, metaheuristic clustering technique, inspired by the mountain clustering method of Yager and Filev… 
2009
2009
Capturing Image Outlines Using Spline Computing Approach
An optimization technique is proposed for the outline capture of planar images. The overall technique has various phases… 
2003
2003
Image Mining Using Inexact Maximal Common Subgraph of Multiple ARGs
In this paper we present a novel approach for mining inexact spatial patterns from multiple images. We propose an inexact maximal… 
2003
2003
A novel robust adaptive control algorithm for AC drives
2002
2002
Evaluating of the multilevel coordinate search inverse modelling algorithm for identifying
1988
1988
Identifying 3D maximal common substructures using Transputer networks
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