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Determining Maximum Load of Passengers and Goods to an Aerotaxi in Southwestern Chihuahua
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Author(s): Alberto Ochoa-Zezzatti (Juarez City University, Mexico), Alfonso Uribe (Juarez City University, Mexico)and Eder Fuentes (Juarez City University, Mexico)
Copyright: 2016
Pages: 17
Source title:
Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations
Source Author(s)/Editor(s): Alberto Ochoa-Zezzatti (Juarez City University, Mexico), Jöns Sánchez (Consejo Nacional De Ciencie Y Tecnologia (CONACYT), Mexico), Miguel Gastón Cedillo-Campos (Transportation Systems and Logistics National Laboratory, Mexican Institute of Transportation, Mexico)and Margain de Lourdes (Polytechnic University of Aguascalientes, Mexico)
DOI: 10.4018/978-1-4666-9779-9.ch023
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Abstract
Travel in Chihuahua is a very complicated situation to realize because the distances between land routes is very far because the poor quality of road. The importance of this research is to understand from a Multivariable optimization associated with the path of a group of airplanes associated with an aero taxi company and determine the optimal flight route involve speed, storage and travel resources for determining the cost benefit have partnered with a travel plan, which has as principal basis the orography airstrip restriction, although this problem has been studied on several occasions by the literature failed to establish by supporting ubiquitous computing for interacting with the various values associated with the achievement of the group of airplanes -Cessna 208 Caravan- and their cost-benefit of each issue of the company and comparing their individual trips for the rest of group. There are several factors that can influence in the achievement of a group of Cessna 208 Caravan group for our research we propose to use Bat Algorithm, which has proven to be efficient for the convergence of several issues (artificial bats) when they have such restrictions and obstacles should use this energy to avoid in our case, a gain resource as food which in our case is represented as the use of travel passengers and goods optimally for the duration of a long trip with the uncertainty of not knowing when you have a resupply or reduce this quantity.
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