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A probabilistic algorithm for global optimization

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0377-2217(79)90240-6openalex-snapshot
Towards global optimization 2
inferredcites →https://doi.org/10.1080/01621459.1967.10482916openalex-snapshot
On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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One-dimensional Global Optimization Based on Statistical Models
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Business Information Systems for the Cost/Energy Management of Water Distribution Networks: A Critical Appraisal of Alternative Optimization Strategies
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Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks
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Learning Enabled Constrained Black-Box Optimization
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A Fuzzy Adaptive Partitioning Algorithm (FAPA) for Global Optimization
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Auswahl von theoriebezogenen Veröffentlichungen
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Convergence qualification of adaptive partition algorithms in global optimization
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A survey on the global optimization problem: General theory and computational approaches
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Extended univariate algorithms for n-dimensional global optimization
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A probabilistic algorithm for global optimization problems with a dimensionality reduction technique
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A Bayesian approach to constrained single- and multi-objective optimization
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Bayesian optimization of pump operations in water distribution systems
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Sequential model based optimization of partially defined functions under unknown constraints
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Comparison of partition evaluation measures in an adaptive partitioning algorithm for global optimization
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Experiments with new stochastic global optimization search techniques
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Global optimization based on a statistical model and simplicial partitioning
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Parallel Characteristical Algorithms for Solving Problems of Global Optimization
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On Convergence of a P-Algorithm Based on a Statistical Model of Continuously Differentiable Functions
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A statistical model for global optimization by means of select and clone
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On the Convergence of Adaptive Partition Algorithms in Global Optimization
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Average performance of a class of adaptive algorithms for global optimization
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Random Binary Search: A Randomizing Algorithm for Global Optimization in $R^1$
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Lost in Optimization of Water Distribution Systems: Better Call Bayes
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Multi-Step Bayesian Optimization for One-Dimensional Feasibility Determination
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