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Title |
Hierarchical Tabu Programming for Finding the Underwater Vehicle Trajectory |
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Author |
Jerzy Balicki |
| Citation |
Vol. 7 No. 11 pp. 32-37 |
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Abstract |
Trajectory of an autonomous underwater vehicle can be obtained by using tabu programming that is a new paradigm of artificial intelligence. Three crucial criteria can be used for an assessment of an underwater vehicle?trajectory quality: a?total length, a?smoothness, and a?measure of safety. Finally, results of some numerical experiments have been presented. |
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Keywords |
Tabu programming, remote operating vehicle, efficient solutions, multi-criterion optimization |
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