MULTITASK n-VEHICLE EXPLORATION PROBLEM: COMPLEXITY AND ALGORITHM

This paper extends the single-task n-Vehicle Exploration Problem to Multitask n-Vehicle Exploration Problem (MTNVEP), by combining n-Vehicle Exploration Problem with Job Scheduling Problem. At first, the authors prove that MTNVEP is NP-hard for fixed number of tasks, and it is strongly NP-hard for g...

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Veröffentlicht in:Journal of systems science and complexity 2012-12, Vol.25 (6), p.1080-1092
Hauptverfasser: Xu, Yangyang, Cui, Jinchuan
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper extends the single-task n-Vehicle Exploration Problem to Multitask n-Vehicle Exploration Problem (MTNVEP), by combining n-Vehicle Exploration Problem with Job Scheduling Problem. At first, the authors prove that MTNVEP is NP-hard for fixed number of tasks, and it is strongly NP-hard for general number of tasks. Then they propose an improved accurate algorithm with computing time O(n3n), which is better than O(n!) as n becomes sufficiently large. Moreover, four heuristic algorithms are proposed. Effectiveness of the heuristic algorithms is illustrated by experiments at last.
ISSN:1009-6124
1559-7067
DOI:10.1007/s11424-012-9324-0