Research on aircraft landing schedule using opposition-based genetic algorithm with Cauchy mutation

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.