A randomized tabu search-based approach for perfect stranger matching in economic experiments
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- 作者：F. Botha ; fabian.both@student.kit.edu" class="auth_mail" title="E-mail the corresponding author ; M.T.P. Adamb ; marc.adam@kit.edu" class="auth_mail" title="E-mail the corresponding author ; A. Hariharana ; anuja.hariharan@kit.edu" class="auth_mail" title="E-mail the corresponding author ; V. Dornera ; verena.dorner@kit.edu" class="auth_mail" title="E-mail the corresponding author ; E. Luxa ; ewa.lux@kit.edu" class="auth_mail" title="E-mail the corresponding author ; C. Weinhardta ; christof.weinhardt@kit.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：C9
- 刊名：Economics Letters
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：145
- 期：Complete
- 页码：235-238
- 全文大小：465 K
文摘
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We formally define the perfect stranger matching problem (PSM) for experiments.
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We propose a heuristic for maximizing the length of matching sequences.
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Solution is provided in the form of matching tables, pseudo, and source code.
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Run time comparisons with existing approaches are provided.
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The solution contributes by tackling an increased problem size and number of matches.