Programación Matemática y Software (Feb 2016)

Bat Algorithm to modeling distribution of Nomads Kitchen Vehicles in a largest city

  • Carlos Alberto Ochoa Ortiz,
  • José Alberto Hernández Aguilar,
  • Miguel Basurto,
  • Julio César Ponce Gallegos

Journal volume & issue
Vol. 8, no. 1

Abstract

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The purpose of this research is to understand from a Multivariable optimization perspective, the optimi- zation related with a group of Food truck vehicles in a large city, we try to analyze a specific number of issues and determine the optimal route involve speed, food storage, perish goods and travel resources as oil and gas to cooking for determining the cost benefit have partnered with a daily travel plan to sell specialized food, which has as principal basis the orography and distances restrictions, although this problem has been studied on several occasions by the literature, failed to establish a solution by supporting ubiquitous computing for interacting with the various values associated with the achieve- ment of the group of vehicles and their cost-benefit of each issue related with the same company and comparing their individual trips associated with the financial improve of the company. There are several factors that can influence in the achievement of a Food truck Company. For our research we propose use Algorithm Bat on, 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 a lose resource as food, which in our case is represented as the use of food optimally for the duration of a long travels, with the uncertainty of not knowing when having a resupply or is limited to fuel per day.

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