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A model of human performance on the traveling salesperson problem.

MacGregor, JN, Ormerod, TC and Chronicle, EP (2000) A model of human performance on the traveling salesperson problem. Mem Cognit, 28 (7). pp. 1183-1190.

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A computational model is proposed of how humans solve the traveling salesperson problem (TSP). Tests of the model are reported, using human performance measures from a variety of 10-, 20-, 40-, and 60-node problems, a single 48-node problem, and a single 100-node problem. The model provided a range of solutions that approximated the range of human solutions and conformed closely to quantitative and qualitative characteristics of human performance. The minimum path lengths of subjects and model deviated by average absolute values of 0.0%, 0.9%, 2.4%, 1.4%, 3.5%, and 0.02% for the 10-, 20-, 40-, 48-, 60-, and 100-node problems, respectively. Because the model produces a range of solutions, rather than a single solution, it may find better solutions than some conventional heuristic algorithms for solving TSPs, and comparative results are reported that support this suggestion.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
MacGregor, JN
Chronicle, EP
Date : October 2000
Uncontrolled Keywords : Algorithms, Attention, Discrimination Learning, Humans, Orientation, Problem Solving, Psychomotor Performance
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 09:58
Last Modified : 24 Jan 2020 18:11

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