A Multiobjective Path-Planning Algorithm With Time Windows for Asset Routing in a Dynamic Weather-Impacted Environment

This paper presents a mixed-initiative tool for multiobjective planning and asset routing (TMPLAR) in dynamic and uncertain environments. TMPLAR is built upon multiobjective dynamic programming algorithms to route assets in a timely fashion, while considering fuel efficiency, voyage time, distance,...

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Vydané v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 47; číslo 12; s. 3256 - 3271
Hlavní autori:	Sidoti, David, Avvari, Gopi Vinod, Mishra, Manisha, Lingyi Zhang, Nadella, Bala Kishore, Peak, James E., Hansen, James A., Pattipati, Krishna R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximate dynamic programming Drills Dynamic programming Electric power generation Environmental impact Heuristic algorithms label setting Marine vehicles Meteorology Multiple objective analysis Nodes Oceanography Pareto optimal Pareto optimization Route planning Schedules ship routing Shortest path problem shortest path problem with time windows Shortest-path problems uncertainty Unmanned aerial vehicles Unmanned helicopters Vehicle routing Waypoints Weather Windows (intervals)
ISSN:	2168-2216, 2168-2232
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