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On the use of statistical models of multimodal functions for the construction of the optimization algorithms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0019-9958(70)90177-4openalex-snapshot
Extrapolation when very little is known about the source
inferredcites →https://doi.org/10.1016/s0019-9958(76)90497-6openalex-snapshot
An approach to estimation and extrapolation with possible applications in an incompletely specified environment
inferredcites →https://doi.org/10.1080/02331887808801427openalex-snapshot
On statistical models for multimodal optimization
inferredcites →https://doi.org/10.1093/imamat/8.3.315openalex-snapshot
Minimization Algorithms Making Use of Non-quadratic Properties of the Objective Function
inferredcites →https://doi.org/10.1115/1.3653121openalex-snapshot
A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise
inferredcites →https://doi.org/10.21236/ad0708563openalex-snapshot
UTILITY THEORY FOR DECISION MAKING
inferredcites →https://doi.org/10.2307/2347182openalex-snapshot
Algorithm AS 133: Optimization of One-Dimensional Multimodal Functions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-1-4613-3437-8_27openalex-snapshot
Global Optimization by Parallel Constrained Biased Random Search
inferred← citeshttps://doi.org/10.1007/978-3-030-69322-0_7openalex-snapshot
The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-51461-6_71openalex-snapshot
Results of the Application of Multimodal Optimization Algorithms Based on Statistical Models
inferred← citeshttps://doi.org/10.1007/bf01581029openalex-snapshot
Axiomatic approach to statistical models and their use in multimodal optimization theory
inferred← citeshttps://doi.org/10.1016/b978-0-08-033452-3.50050-8openalex-snapshot
AXIOMATIC CONSTRUCTION OF THE MODELS OF COMPLICATED FUNCTIONS UNDER UNCERTAINTY
inferred← citeshttps://doi.org/10.1016/j.ejor.2014.04.011openalex-snapshot
GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.106897openalex-snapshot
Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis
inferred← citeshttps://doi.org/10.1016/s1474-6670(17)59804-3openalex-snapshot
Axiomatic Construction of the Models of Complicated Functions Under Uncertainty
inferred← citeshttps://doi.org/10.1109/21.179841openalex-snapshot
A comparison of Bayesian/sampling global optimization techniques
inferred← citeshttps://doi.org/10.1109/access.2021.3063523openalex-snapshot
Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.2010.13301openalex-snapshot
Scalable Bayesian Optimization with Sparse Gaussian Process Models
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