Title :
Optimal routing offshore helicopter using Genetic Algorithm
Author :
Motta, Alfredo ; Vieira, Ricardo ; Soletti, J.
Author_Institution :
Comput. Inst., Fed. Univ. of Alagoas (UFAL), Maceio, Brazil
Abstract :
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.
Keywords :
air traffic control; genetic algorithms; helicopters; Brazil; air traffic control; aircraft fuel consumption; fuel production; genetic algorithm; heuristics method; oceanic regions; oil platforms; optimal routing offshore helicopter; presalt layer; sustainability; technological device; Airports; Biological cells; Fuels; Genetic algorithms; Helicopters; Offshore installations; Genetic Algorithm; Offshore Helicopters; Optimization of routes;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030263