Social Spider Algorithm to Improve Intelligent Drones Used in Humanitarian Disasters Related to Floods

Abstract

The aim of this study was to implement an optimal arrangement of equipment, instrumentation and medical personnel based on the weight and balance of the aircraft and to transfer humanitarian aid in a drone, by implementing artificial intelligence algorithms. This is due to the problems presented by the geographical layout of human settlements in southeast of the state of Chihuahua. The importance of this research is to understand the multivariable optimization associated with the path of a group of airplanes associated with different kinds of aerial in order to improve the evaluation of flooding and to send medical support and goods; to determine the optimal flight route, including speed, storage and travel resources. To determine the cost–benefit, this has been partnered with a travel plan to rescue people, which has as its 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 drones 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 drones for our research. We propose the use of a bioinspired algorithm.