On statistical models for multimodal optimization

DOI10.1080/02331887808801427zbMath0392.62005OpenAlexW2109792692MaRDI QIDQ4174063

Antanas Žilinskas

Publication date: 1978

Published in: Series Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331887808801427

zbMATH Keywords

UncertaintyDecisionWiener Processa Priori InformationMultimodal OptimizationStatistical Model of Objective Function

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (8)

Unnamed Item ⋮ Global optimization based on a statistical model and simplicial partitioning. ⋮ Convergence of one-dimensional one-stage algorithms for multiextremal optimization in the presence of noise ⋮ Bayesian methods in global optimization ⋮ Properties of conditional expectations and variances of a Wiener process observed in the presence of noise ⋮ Axiomatic approach to statistical models and their use in multimodal optimization theory ⋮ Fitting three-parameter lognormal models by numerical global optimization - an improved algorithm ⋮ Axiomatic characterization of a global optimization algorithm and investigation of its search strategy

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