Stochastic global optimization algorithms: a systematic formal approach

DOI10.1016/j.ins.2018.09.021zbMath1441.90107arXiv1706.02246OpenAlexW2963171004MaRDI QIDQ2200687

Jonatan Gómez

Publication date: 22 September 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1706.02246

zbMATH Keywords

convergence\(\sigma\)-algebrastochastic global optimizationMarkov modelMarkov kerneloptimization space

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Stochastic programming (90C15)

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Uses Software

• SIGOA

Cites Work

• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Branch-and-bound algorithms: a survey of recent advances in searching, branching, and pruning
• Discussion on: ``Comparison of practical adaptive algorithms in pH control
• The Cutting-Plane Method for Solving Convex Programs
• Probability theory. A comprehensive course
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