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Date: 2007
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/48702
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 d ... More
Reviewed: Reviewed
Date: 2006
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/9030
Description: Backtracking adaptive search is a simplified stochastic optimiza-tion procedure which permits the acceptance of worsening objective function values. It generalizes the hesitant adaptive search, which ... More
Reviewed: Reviewed
Date: 2005
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/47143
Description: Grover's quantum computational search procedure can provide the basis for implementing adaptive global optimization algorithms. A brief overview of the procedure is given and a framework called Grover ... More
Full Text: Full Text
Reviewed: Reviewed
Date: 2002
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/7782
Description: How long should we run a stochastic global optimisation algorithm such as simulated annealing? How should we tune such an algorithm? This paper proposes an approach to the study of these questions thr ... More
Reviewed: Reviewed
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