Journal of Intelligent Learning Systems and Applications

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
"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] AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables
2020
[2] Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
2020
[3] On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks
2020
[4] Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
2020
[5] A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks
2020
[6] A heuristic approach to the deterministic and stochastic air crew pairing problem
2019
[7] Real-World Airline Crew Pairing Optimization Systems: Customized Genetic Algorithm Vs Column Generation Method
2019
[8] A heuristic method for solving airline crew pairing problems
2018
[9] A survey of the literature on airline crew scheduling
Engineering Applications of Artificial Intelligence, 2018
[10] Crew Pairing Optimization using Hyper-Heuristics
Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling, 2018
[11] On Large-Scale Airline Crew Pairing Generation
2018
[12] Evolutionary algorithms for solving the airline crew pairing problem
Computers & Industrial Engineering, 2018
[13] Fuzzy-logic controlled genetic algorithm for the rail-freight crew-scheduling problem
KI - Künstliche Intelligenz, 2017
[14] Novel search space updating heuristics-based genetic algorithm for optimizing medium-scale airline crew pairing problems
2017
[15] Evolutionary algorithms for scheduling operations
2016
[16] A novel column generation strategy for large scale airline crew pairing problems
Expert Systems with Applications, 2016
[17] A HYBRID GENETIC ALGORITHM FOR AIRLINE CREW PAIRING OPTIMIZATION
2016
[18] Rail-Freight Crew Scheduling with a Genetic Algorithm
Research and Development in Intelligent Systems XXXI, 2014
[19] SOLVING THE AIRLINE CREW PAIRING PROBLEM USING GENETIC ALGORITHMS
CIE44 & IMSS’14 Proceedings, 2014
[20] Preventive Maintenance with Aircraft on Ground Case Consideration, and Airline Crew Scheduling Problem: A Meta-Heuristics Approaches
2014
[21] On-line Handwritten English Character Recognition Using Genetic Algorithm
population, 2013
[22] Genetic Algorithms for Perceptual Codes Extraction
Journal of Intelligent Learning Systems and Applications, 2012
[23] AIRLINE CREW SCHEDULING
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