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Intelligent Drones Improved With Algae Algorithm

Intelligent Drones Improved With Algae Algorithm

Alberto Ochoa-Zezzatti, Tania Olivier, Raymundo Camarena, Guadalupe Gutiérrez, Daniel Axpeitia, Irving Vázque
Copyright: © 2018 |Pages: 19
ISBN13: 9781522529903|ISBN10: 152252990X|EISBN13: 9781522529910
DOI: 10.4018/978-1-5225-2990-3.ch012
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MLA

Ochoa-Zezzatti, Alberto, et al. "Intelligent Drones Improved With Algae Algorithm." Handbook of Research on Emergent Applications of Optimization Algorithms, edited by Pandian Vasant, et al., IGI Global, 2018, pp. 279-297. https://doi.org/10.4018/978-1-5225-2990-3.ch012

APA

Ochoa-Zezzatti, A., Olivier, T., Camarena, R., Gutiérrez, G., Axpeitia, D., & Vázque, I. (2018). Intelligent Drones Improved With Algae Algorithm. In P. Vasant, S. Alparslan-Gok, & G. Weber (Eds.), Handbook of Research on Emergent Applications of Optimization Algorithms (pp. 279-297). IGI Global. https://doi.org/10.4018/978-1-5225-2990-3.ch012

Chicago

Ochoa-Zezzatti, Alberto, et al. "Intelligent Drones Improved With Algae Algorithm." In Handbook of Research on Emergent Applications of Optimization Algorithms, edited by Pandian Vasant, Sirma Zeynep Alparslan-Gok, and Gerhard-Wilhelm Weber, 279-297. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2990-3.ch012

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Abstract

Implement an optimal arrangement of equipment, instrumentation and medical personnel based on the weight and balance of the aircraft and transfer humanitarian aid in a Drone, by implementing artificial intelligence algorithms. This due to the problems presented by geographical layout of human settlements in southeast of the state of Chihuahua. The importance of this research is to understand from a Multivariable optimization associated with the path of a group of airplanes associated with different kind of aerial improve the evaluate flooding and send medical support and goods to determine the optimal flight route involve speed, storage and travel resources for determining the cost benefit have partnered with a travel plan to rescue people, 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 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 to use a Bioinspired Algorithm.

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