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Optimal and sub-optimal stopping rules for the Multistart algorithm in global optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-349-20181-5_26openalex-snapshot
Statistical Decision Theory
inferredcites →https://doi.org/10.1007/978-1-4757-1727-3openalex-snapshot
Statistical Decision Theory
inferredcites →https://doi.org/10.1007/bf01584254openalex-snapshot
A statistical estimate of the structure of multi-extremal problems
inferredcites →https://doi.org/10.1007/bf02591684openalex-snapshot
Bayesian stopping rules for multistart global optimization methods
inferredcites →https://doi.org/10.1007/bf02592015openalex-snapshot
Sequential stopping rules for the multistart algorithm in global optimisation
inferredcites →https://doi.org/10.1016/0016-0032(58)90688-4openalex-snapshot
An introduction to probability theory and its applications
inferredcites →https://doi.org/10.1016/0016-0032(67)90104-4openalex-snapshot
An introduction to probability theory and its applications, Vol. II
inferredcites →https://doi.org/10.1016/0898-1221(91)90167-3openalex-snapshot
A stochastic technique for global optimization
inferredcites →https://doi.org/10.1080/02331939008843596openalex-snapshot
Stopping eules for the multistart method when different local minima have different function values
inferredcites →https://doi.org/10.2307/2986900openalex-snapshot
An Introduction to Probability Theory and its Application, Vol. II.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Stochastic Global Optimization: Stopping Rules
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Neural Network Approach to Design of Distributed Hard Real-Time Systems
inferred← citeshttps://doi.org/10.1007/978-0-387-74759-0_647openalex-snapshot
Stochastic Global Optimization: Stopping Rules
inferred← citeshttps://doi.org/10.1007/978-1-4757-5362-2_5openalex-snapshot
Two-Phase Methods for Global Optimization
inferred← citeshttps://doi.org/10.1007/bf01096532openalex-snapshot
On a new stochastic global optimization algorithm based on censored observations
inferred← citeshttps://doi.org/10.1007/s10569-022-10075-7openalex-snapshot
A stochastic optimization algorithm for analyzing planar central and balanced configurations in the n-body problem
inferred← citeshttps://doi.org/10.1007/s10898-006-9014-3openalex-snapshot
Bayesian Stopping Rules for Greedy Randomized Procedures
inferred← citeshttps://doi.org/10.1007/s10898-020-00937-5openalex-snapshot
Stochastic optimization with adaptive restart: a framework for integrated local and global learning
inferred← citeshttps://doi.org/10.1007/s42979-020-00392-9openalex-snapshot
A Novel Sampling Technique for Multistart-Based Methods
inferred← citeshttps://doi.org/10.1016/j.amc.2007.08.001openalex-snapshot
Stopping rules for box-constrained stochastic global optimization
inferred← citeshttps://doi.org/10.1016/s0045-7906(99)00004-xopenalex-snapshot
An efficient global algorithm for supervised training of neural networks
inferred← citeshttps://doi.org/10.1023/a:1008284229931openalex-snapshot
A Non-myopic Utility Function for Statistical Global Optimization Algorithms
inferred← citeshttps://doi.org/10.1023/a:1008294209959openalex-snapshot
Trace-Based Methods for Solving Nonlinear Global Optimization and Satisfiability Problems
inferred← citeshttps://doi.org/10.1023/a:1008294716304openalex-snapshot
Bayesian Algorithms for One-Dimensional Global Optimization
inferred← citeshttps://doi.org/10.1137/090773143openalex-snapshot
Fixed-Width Sequential Stopping Rules for a Class of Stochastic Programs
inferred← citeshttps://doi.org/10.1137/s1052623494277317openalex-snapshot
Sequential Stopping Rules for Random Optimization Methods with Applications to Multistart Local Search
inferred← citeshttps://doi.org/10.1162/evco_a_00089openalex-snapshot
Black Box Optimization Benchmarking of the GLOBAL Method
inferred← citeshttps://doi.org/10.14232/phd.625openalex-snapshot
Global optimization algorithms for bound constrained problems
inferred← citeshttps://doi.org/10.31449/inf.v45i2.3105openalex-snapshot
ParallelGlobal with Low Thread Interactions
inferred← citeshttps://doi.org/10.32657/10356/6217openalex-snapshot
New interval partitioning algorithms for global optimization problems
inferred← citeshttps://doi.org/10.3390/info14020066openalex-snapshot
NeuralMinimizer: A Novel Method for Global Optimization
inferred← citeshttps://doi.org/10.3390/math12081201openalex-snapshot
Automatic Differentiation-Based Multi-Start for Gradient-Based Optimization Methods
inferred← citeshttps://doi.org/10.3390/signals3040051openalex-snapshot
Use RBF as a Sampling Method in Multistart Global Optimization Method
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Disciplinary surrogates for the analysis and optimization of partitioned multidisciplinary systems : application to aeroelastic coupling in wing design
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