1 Search Results for "Leyland, Geoff"


Document
Rowing to Barbados

Authors: Andy Philpott and Geoff Leyland

Published in: Dagstuhl Seminar Proceedings, Volume 5031, Algorithms for Optimization with Incomplete Information (2005)


Abstract
In October 2003, sixteen boats set off from La Gomera in the Canary Islands headed for Barbados 4800 km distant. Each boat was manned by two oarsmen who were competing in the Transatlantic Challenge, an ocean rowing endurance event. This paper describes an optimization model developed for route planning in this event. It was used successfully by the Holiday Shoppe team to win the race in world record time. We describe the tool, its history, and the way it was used in the race.

Cite as

Andy Philpott and Geoff Leyland. Rowing to Barbados. In Algorithms for Optimization with Incomplete Information. Dagstuhl Seminar Proceedings, Volume 5031, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)


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@InProceedings{philpott_et_al:DagSemProc.05031.25,
  author =	{Philpott, Andy and Leyland, Geoff},
  title =	{{Rowing to Barbados}},
  booktitle =	{Algorithms for Optimization with Incomplete Information},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5031},
  editor =	{Susanne Albers and Rolf H. M\"{o}hring and Georg Ch. Pflug and R\"{u}diger Schultz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05031.25},
  URN =		{urn:nbn:de:0030-drops-656},
  doi =		{10.4230/DagSemProc.05031.25},
  annote =	{Keywords: ocean rowing , weather routing , dynamic programming , isochrones}
}
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