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 journalArticle

    3 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 languageEnglish
    Pages (from-to)159-175
    Number of pages17
    JournalJournal of Global Optimization
    Volume37
    Issue number2
    DOIs
    Publication statusPublished - Feb 2007

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