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It looks easy! Heuristics for combinatorial optimization problems.

Research output: Contribution to journalJournal article

Published

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Journal publication date2006
JournalThe Quarterly Journal of Experimental Psychology
Journal number4
Volume39
Number of pages0
Pages783 -800
Original languageEnglish

Abstract

Human performance on instances of computationally intractable optimization problems, such as the travelling salesperson problem (TSP), can be excellent. We have proposed a boundary-following heuristic to account for this finding. We report three experiments with TSPs where the capacity to employ this heuristic was varied. In Experiment 1, participants free to use the heuristic produced solutions significantly closer to optimal than did those prevented from doing so. Experiments 2 and 3 together replicated this finding in larger problems and demonstrated that a potential confound had no effect. In all three experiments, performance was closely matched by a boundary-following model. The results implicate global rather than purely local processes. Humans may have access to simple, perceptually based, heuristics that are suited to some combinatorial optimization tasks.