Working paper/research report
Authors list: Winker, Peter; Maringer, Dietmar
Publication year: 2006
Title of series: CCFEA Working Paper Series
Number in series: WP009-06
Threshold Accepting (TA) is a powerful optimization heuristic. Using several examples from economics, econometrics and statistics, the issues related to implementations of TA are discussed and demonstrated.
Abstract:
A problem specific implementation involves the definition of a local structure on the search space, the analysis of the objective function and of constraints, if relevant, and the generation of a sequence of threshold values to be used in the acceptance-rejection-step of the algorithm.
A routine approach towards setting these implementation specific details for TA is presented, which will be partially data driven. Furthermore, fine tuning of parameters and the cost and benefit of restart versions of stochastic optimization heuristics will be discussed.
Citation Styles
Harvard Citation style: Winker, P. and Maringer, D. (2006) The Threshold Acceptance Optimization Heuristic in Economics and Statistics. (CCFEA Working Paper Series, WP009-06). Colchester: University of Essex. https://www.bracil.net/ccfea/WorkingPapers/2006/090-06__Winker_Maringer_TA_in_Economics_Statistics.pdf
APA Citation style: Winker, P., & Maringer, D. (2006). The Threshold Acceptance Optimization Heuristic in Economics and Statistics. (CCFEA Working Paper Series, WP009-06). University of Essex. https://www.bracil.net/ccfea/WorkingPapers/2006/090-06__Winker_Maringer_TA_in_Economics_Statistics.pdf
