A hybrid of Bayesian approach based global search with clustering aided local refinement-Reference-Cited by-同舟云学术

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A hybrid of Bayesian approach based global search with clustering aided local refinement

Published:2019-11 Issue: Volume:78 Page:104857
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Žilinskas Antanas^ORCID,Gimbutienė Gražina

Funder

Research Council of Lithuania

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Numerical Analysis

Reference37 articles.

1. Deterministic global optimization; theory, methods and appications;Floudas,2000

2. Introduction to global optimization;Horst,1995

3. Deterministicglobal optimization: geometric branch-and-bound methods and their applications;Scholz,2012

4. Bayesian heuristic approach to discrete and global optimization;Mockus,1997

5. Global optimization with non-convex constraints;Strongin,2000

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