Optimal Pairings Selection From Flight Schedule Using Genetic Algorithm And Particle Swarm Optimization With Penalty

Anshori, Mohamad Yusak and Herlambang, Teguh and Rahmalia, Dinita and Muhith, Abdul (2020) Optimal Pairings Selection From Flight Schedule Using Genetic Algorithm And Particle Swarm Optimization With Penalty. International Journal of Advanced Science and Technology, 134. pp. 41-52. ISSN 2207-6360

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Abstract

Indonesia is a large archipelago country with large population so that the demands of flight service are very high. Because the demands of flight service, flight industry should minimize operational cost such as crew cost. Crew cost depends on pairings from flight schedule. Optimization model of this problem is selecting optimal pairings covering all flight numbers. In this research, optimal pairings selection will be applied by heuristic method like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) with penalty. GA uses natural selection process mechanism in chromosomes whille PSO is optimization method inspired from the flock of fish or bird in searching food source. Both GA and PSO can be applied on constrained optimization. In order that satisfying constraints, chromosome in GA or particle in PSO will be given penalty if the constraint isn't satisfied. Simulations are applied by generating the set of pairings and selection using GA and PSO with penalty. Simulation result shows GA and PSO method with penalty can select optimal pairings in approaching

Item Type:	Article
Uncontrolled Keywords:	Flight schedule, Pairings selection, Genetic Algorithm, Particle Swarm Optimization, penalty
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions:	Faculty of Nursing and Midwifery > Program Study of Nursing Bachelor
Depositing User:	Mr. . Adit
Date Deposited:	26 Jun 2020 17:58
Last Modified:	22 Mar 2021 03:20
URI:	http://repository.unusa.ac.id/id/eprint/6188

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