Generating functions and the performance of backtracking adaptive search

W. Baritompa; D. W. Bulger; G. R. Wood

doi:10.1007/s10898-006-9042-z

Generating functions and the performance of backtracking adaptive search

W. Baritompa^*, D. W. Bulger, G. R. Wood

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Backtracking adaptive search is a simplified stochastic optimisation procedure which permits the acceptance of worsening objective function values. Key properties of backtracking adaptive search are defined and obtained using generating functions. Examples are given to illustrate the use of this methodology.

Original language	English
Pages (from-to)	159-175
Number of pages	17
Journal	Journal of Global Optimization
Volume	37
Issue number	2
DOIs	https://doi.org/10.1007/s10898-006-9042-z
Publication status	Published - Feb 2007

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Generating functions and the performance of backtracking adaptive search

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