A theoretical approach to restart in global optimization

DOI10.1023/A:1008238928345zbMath0871.90089OpenAlexW1491258155MaRDI QIDQ1359039

Marco Muselli

Publication date: 24 June 1997

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1008238928345

zbMATH Keywords

random walkrestartgrid searchconvergence probabilityglobal minimum of a cost functionpure random searchrepeated searches

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (3)

Multi-objective turbomachinery optimization using a gradient-enhanced multi-layer perceptron ⋮ Stopping and restarting strategy for stochastic sequential search in global optimization ⋮ APPROACHES TO ADAPTIVE STOCHASTIC SEARCH BASED ON THE NONEXTENSIVE q-DISTRIBUTION

Uses Software

• simannf90

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