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Generating functions and the performance of backtracking adaptive search |
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| Authors: | W. Baritompa D. W. Bulger G. R. Wood |
| Affiliation: | (1) Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand;(2) Department of Statistics, Macquarie University, Sydney, NSW, 2109, Australia;(3) Department of Statistics, Macquarie University, Sydney, NSW, 2109, Australia |
| 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. |
| Keywords: | Adaptive search Backtracking Global optimization Hesitant adaptive search Markov process |
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