Research on aircraft landing schedule using opposition-based genetic algorithm with Cauchy mutation Online publication date: Mon, 02-Dec-2019
by Chidambaram Nithyanandam; Gabriel Mohankumar
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 16, No. 1, 2020
Abstract: Optimal scheduling of airport runway operation plays a significant responsibility in the aircraft transportation. Arrival runways are a crucial resource in the air traffic system. Arrival delays encompass an immense impact on airline operations in addition to cost. An imperative responsibility is the planning of airport operations like arrival and departure of aircraft. At this juncture, this paper describes the technique of the execution time in addition to the penalty cost of the every aircrafts. These experimentations demonstrate whenever aircrafts landing on the runway in the mean while no congestion on to facilitate particular path, if it is happening subsequently it seems to be problematic. In order towards eradicating these problems, neural network and genetic algorithms through Cauchy mutations are utilised in the direction of eradicating the congestion occur during the runway as well as in addition to proposed technique towards reducing the penalty cost to be charged.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook