Handling the pseudo pilot assignment problem in air traffic control training by using NASA TLX
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[1] Wen-Chin Li,et al. The evaluation of pilots performance and mental workload by eye movement , 2012 .
[2] Patrick De Causmaecker,et al. A decomposed metaheuristic approach for a real-world university timetabling problem , 2009, Eur. J. Oper. Res..
[3] R. McGregor. The LINK2000+ Real-time Simulation - using controllers to validate air/ground datalink implementation for Europe , 2002, Proceedings. The 21st Digital Avionics Systems Conference.
[4] Sehun Jeong,et al. Human-in-the-Loop Simulation Analysis of Conflict Resolution Maneuvers Using an Air Traffic Control Simulation , 2016 .
[5] Gabriel G. De la Torre,et al. Workload perception in drone flight training simulators , 2016, Comput. Hum. Behav..
[6] Damin Zhuang,et al. Influence of mental workload on detecting information varieties revealed by mismatch negativity during flight simulation , 2018 .
[7] Richard E. Rosenthal. A Gams Tutorial , 1992 .
[8] Efthymios Housos,et al. An integer programming formulation for a case study in university timetabling , 2004, Eur. J. Oper. Res..
[9] Sandra G. Hart,et al. Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .
[10] Hussein A. Abbass,et al. Augmented Cognition using Real-time EEG-based Adaptive Strategies for Air Traffic Control , 2014 .
[11] Kim S. Larsen,et al. Heuristic Variants for A* Search in 3D Flight Planning , 2018 .
[12] Rebecca A. Grier. How High is High? A Meta-Analysis of NASA-TLX Global Workload Scores , 2015 .
[13] Eric Min-yang Wang,et al. Effects of controller-pilot communication medium, flight phase and the role in the cockpit on pilots’ workload and situation awareness , 2012 .
[14] B Domenech,et al. A MILP model for the teacher assignment problem considering teachers' preferences , 2016, Eur. J. Oper. Res..
[15] Tom Kontogiannis,et al. Managing emergencies and abnormal situations in air traffic control (part II): teamwork strategies. , 2010, Applied ergonomics.
[16] Lynne Martin,et al. Effects of scheduling and spacing tools on controllers' performance and perceptions of their workload , 2011 .
[17] Landir Saviniec,et al. Parallel local search algorithms for high school timetabling problems , 2018, Eur. J. Oper. Res..
[18] Olivier Grunder,et al. Balancing high operator's workload through a new job rotation approach: Application to an automotive assembly line , 2019, International Journal of Industrial Ergonomics.
[19] Masood A. Badri,et al. A two-stage multiobjective scheduling model for [faculty-course-time] assignments , 1996 .
[20] P. Lehrer,et al. Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study. , 2010, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[21] Stef Lemmens,et al. Developing compact course timetables with optimized student flows , 2016, Eur. J. Oper. Res..
[22] Marina Yusoff,et al. Evaluation of Genetic Algorithm and Hybrid Genetic Algorithm-Hill Climbing with Elitist for Lecturer University Timetabling Problem , 2019, ICSI.
[23] Dominique de Werra,et al. A generalized class-teacher model for some timetabling problems , 2002, Eur. J. Oper. Res..
[24] Steven Clark,et al. General Algebraic Modeling System , 2014 .
[25] Domingos M. Cardoso,et al. The teacher assignment problem: A special case of the fixed charge transportation problem , 1997 .
[26] Huan Zhang,et al. Improving pilot mental workload evaluation with combined measures. , 2014, Bio-medical materials and engineering.
[27] Zehra Kamışlı Öztürk,et al. A NEW MATHEMATICAL MODEL AND RANDOM KEY BASED METAHEURISTIC SOLUTION APPROACH FOR COURSE-ROOM-TIME ASSIGNMENT PROBLEM , 2019, Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi.
[28] Grigorios N. Beligiannis,et al. Solving the Greek school timetabling problem by a mixed integer programming model , 2020, J. Oper. Res. Soc..
[29] Margarida Vaz Pato,et al. A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem , 2004, Eur. J. Oper. Res..
[30] Peter J. Stuckey,et al. Constraint Programming for High School Timetabling: A Scheduling-Based Model with Hot Starts , 2018, CPAIOR.
[31] Olumide Sunday Adewale,et al. A Tabu Search-based University Lectures Timetable Scheduling Model , 2018 .
[32] Rafail N. Gasimov,et al. The analytic hierarchy process and multiobjective 0-1 faculty course assignment , 2004, Eur. J. Oper. Res..
[33] Armin Scholl,et al. Reducing ergonomic risks by job rotation scheduling , 2012, OR Spectrum.
[34] Landir Saviniec,et al. Pattern-based models and a cooperative parallel metaheuristic for high school timetabling problems , 2020, Eur. J. Oper. Res..
[35] Gürsel A. Süer,et al. Multi-period operator assignment considering skills, learning and forgetting in labour-intensive cells , 2008 .
[36] S. Hart,et al. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .
[37] Tom Kontogiannis,et al. Cognitive Strategies in Emergency and Abnormal Situations Training – Implications for Resilience in Air Traffic Control , 2017 .
[38] R. A. Ranga Prabodanie. An Integer Programming Model for a Complex University Timetabling Problem: A Case Study , 2017 .
[39] H C Kemper,et al. Job rotation as a factor in reducing physical workload at a refuse collecting department. , 1999, Ergonomics.