Generating functions and the performance of backtracking adaptive search | Macquarie University ResearchOnline

Home

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/48702

17 Visitors

19 Hits

0 Downloads

Title: Generating functions and the performance of backtracking adaptive search
Related: Journal of global optimization, Vol. 37, No. 2, p.159-175
DOI: 10.1007/s10898-006-9042-z
Publisher: Springer
Date: 2007
Author/Creator: Baritompa, W
Author/Creator: Bulger, D. W
Author/Creator: Wood, G. R
Description: 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.
Description: 17 page(s)
Subject Keyword: adaptive search
Subject Keyword: backtracking
Subject Keyword: global optimization
Subject Keyword: hesitant adaptive search
Subject Keyword: Markov process
Resource Type: journal article
Organisation: Macquarie University. Dept. of Statistics

Macquarie University ResearchOnline