When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.05031.25
URN: urn:nbn:de:0030-drops-656
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Philpott, Andy ; Leyland, Geoff

Rowing to Barbados

05031.PhilpottAndy.Paper.65.pdf (0.2 MB)


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.

BibTeX - Entry

  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 =		{},
  URN =		{urn:nbn:de:0030-drops-656},
  doi =		{10.4230/DagSemProc.05031.25},
  annote =	{Keywords: ocean rowing , weather routing , dynamic programming , isochrones}

Keywords: ocean rowing , weather routing , dynamic programming , isochrones
Collection: 05031 - Algorithms for Optimization with Incomplete Information
Issue Date: 2005
Date of publication: 30.05.2005

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