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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.
2018
2018
Optimization of multistage fractured horizontal well in tight oil based on embedded discrete fracture model
2017
2017
Improving MCS Enumeration via Caching
Enumeration of minimal correction sets (MCSes) of conjunctive normal form formulas is a central and highly intractable problem in… 
Highly Cited
2017
Highly Cited
2017
Multi-microgrids approach for design and operation of future distribution networks based on novel technical indices
2016
2016
A multilevel coordinate search algorithm for well placement, control and joint optimization
Highly Cited
2013
Highly Cited
2013
A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models
2013
2013
Intelligent state space pruning for Monte Carlo simulation with applications in composite power system reliability
Review
2009
Review
2009
Optimal experiment design for time-lapse traveltime tomography
Optimal Experiment Design for Timelapse Traveltime Tomography Jonathan B. Ajo-Franklin ∗† ∗ Earth Science Division, Lawrence… 
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… 
Highly Cited
1999
Highly Cited
1999
Global Optimization by Multilevel Coordinate Search
Inspired by a method by Jones et al. (1993), we present a global optimization algorithm based on multilevel coordinate search. It… 
1996
1996
Perfect elimination orderings of chordal powers of graphs
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