An Improved Genetic Algorithm for Crew Pairing Optimization

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Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

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"An Improved Genetic Algorithm for Crew Pairing Optimization"
written by Bahadır Zeren, İbrahim Özkol,
published by Journal of Intelligent Learning Systems and Applications, Vol.4 No.1, 2012

has been cited by the following article(s):

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CrossRef

[1]	Solving an integrated mathematical model for crew pairing and rostering problems by an ant colony optimisation algorithm
	European Journal …, 2022

[2]	Cockpit crew pairing Pareto optimisation in a budget airline
	International Journal of …, 2022

[3]	An integrated crew scheduling problem considering reserve crew in air transportation: Ant colony optimization algorithm
	… of Optimization in …, 2022

[4]	A new mathematical model to cover crew pairing and rostering problems simultaneously
	2021

[5]	Dynamic Model of Contingency Flight Crew Planning Extending to Crew Formation
	Mathematics, 2021

[6]	On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks
	2020

[7]	Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
	2020

[8]	A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks
	2020

[9]	AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables
	2020

[10]	Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
	2020

[11]	A heuristic approach to the deterministic and stochastic air crew pairing problem
	2019

[12]	Real-World Airline Crew Pairing Optimization Systems: Customized Genetic Algorithm Vs Column Generation Method
	2019

[13]	Combiner intelligence artificielle et programmation mathématique pour la planification des horaires des équipages en transport aérien
	2019

[14]	Deterministic and Stochastic Airline Crew Scheduling
	2019

[15]	A heuristic method for solving airline crew pairing problems
	2018

[16]	A survey of the literature on airline crew scheduling
	Engineering Applications of Artificial Intelligence, 2018

[17]	Crew Pairing Optimization using Hyper-Heuristics
	Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling, 2018

[18]	On Large-Scale Airline Crew Pairing Generation
	2018

[19]	Evolutionary algorithms for solving the airline crew pairing problem
	Computers & Industrial Engineering, 2018

[20]	Fuzzy-logic controlled genetic algorithm for the rail-freight crew-scheduling problem
	KI - Künstliche Intelligenz, 2017

[21]	Novel search space updating heuristics-based genetic algorithm for optimizing medium-scale airline crew pairing problems
	2017

[22]	Evolutionary algorithms for scheduling operations
	2016

[23]	A novel column generation strategy for large scale airline crew pairing problems
	Expert Systems with Applications, 2016

[24]	A HYBRID GENETIC ALGORITHM FOR AIRLINE CREW PAIRING OPTIMIZATION
	2016

[25]	Rail-Freight Crew Scheduling with a Genetic Algorithm
	Research and Development in Intelligent Systems XXXI, 2014

[26]	SOLVING THE AIRLINE CREW PAIRING PROBLEM USING GENETIC ALGORITHMS
	CIE44 & IMSS’14 Proceedings, 2014

[27]	Preventive Maintenance with Aircraft on Ground Case Consideration, and Airline Crew Scheduling Problem: A Meta-Heuristics Approaches
	2014

[28]	On-line Handwritten English Character Recognition Using Genetic Algorithm
	population, 2013

[29]	Genetic Algorithms for Perceptual Codes Extraction
	Journal of Intelligent Learning Systems and Applications, 2012

[30]	AIRLINE CREW SCHEDULING
	2012

[1]	Solving a new mathematical model for the integrated cockpit crew pairing and rostering problem by meta-heuristic algorithms under the COVID-19 pandemic Journal of the Operational Research Society, 2023 DOI:10.1080/01605682.2023.2253839

[2]	Dynamic Model of Contingency Flight Crew Planning Extending to Crew Formation Mathematics, 2021 DOI:10.3390/math9172138

[3]	Evolutionary algorithms for solving the airline crew pairing problem Computers & Industrial Engineering, 2018 DOI:10.1016/j.cie.2017.11.022

[4]	A heuristic method for solving airline crew pairing problems MATEC Web of Conferences, 2018 DOI:10.1051/matecconf/201820402006

[5]	On Large-Scale Airline Crew Pairing Generation 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018 DOI:10.1109/SSCI.2018.8628699

[6]	Fuzzy-Logic Controlled Genetic Algorithm for the Rail-Freight Crew-Scheduling Problem KI - Künstliche Intelligenz, 2017 DOI:10.1007/s13218-017-0516-6

[7]	A novel column generation strategy for large scale airline crew pairing problems Expert Systems with Applications, 2016 DOI:10.1016/j.eswa.2016.01.045

[8]	Particle swarm optimization algorithm for solving airline crew scheduling problem 2014 International Conference on Logistics Operations Management, 2014 DOI:10.1109/GOL.2014.6887447

[9]	Genetic Algorithms for Perceptual Codes Extraction Journal of Intelligent Learning Systems and Applications, 2012 DOI:10.4236/jilsa.2012.44026

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