By Topic

Optimal routing offshore helicopter using Genetic Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Motta, A. ; Comput. Inst., Fed. Univ. of Alagoas (UFAL), Maceio, Brazil ; Vieira, R. ; Soletti, J.

This With the discovery of oil in the Pre-Salt layer, in oceanic regions of Brazil, it is aroused the need to improve technological devices of analysis, to ensure the sustainability of the system of fuel production in the country. From there we conjecture about the problem of air traffic control of offshore helicopters, which give logistical support to oil platforms and to optimization of routes. In this paper, we propose to minimize routes, thus decreasing the fuel consumption of these aircraft, as well as to optimize the time spent on travel between airports and platforms, using the heuristics methods of Genetic Algorithms.

Published in:

Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International  (Volume:2 )

Date of Conference:

20-22 Aug. 2011