Results 171 to 180 of about 3,450 (188)

ADMM-based augmented Lagrangian methods for robust aircraft recovery problem considering connection time, resource capacity and maintenance flexibility

Transportation Research, Part E: Logistics and Transportation Review
Yuzhen Guo, Yucong Tang, By Associate Professor Cheng-Lung Wu   +2 more
exaly   +2 more sources

Hierarchical goal programming approaches to solve a discrete-time formulation for the aircraft recovery problem of a Brazilian oil and gas company

International Transactions in Operational Research
AbstractWe address the aircraft recovery problem faced by a Brazilian oil and gas company during its offshore operations. This problem involves hiring helicopters from an outsourced company to transport personnel from an airport to maritime units. The performed flights are subject to disruptions and might require rescheduling.
Pedro Augusto Munari Júnior, Thiago Vieira, Reinaldo Morabito   +2 more
exaly   +2 more sources

An Enhanced Column Generation Scheme for Aircraft Schedule Recovery Problem

SSRN Electronic Journal, 2023
Imran Haider, Sourabh Kumar Choudhary, Goutam Sen, Amit Kumar Das   +3 more
openaire   +1 more source

An Integrated Model for Crew Aircraft and Passenger Recovery Problem: A Real Case Study

2023
Khiabani, Amir, Rashidi Komijan, Alireza, Ghezavati, Vahidreza, Mohammadi Bidhendi, Hadi   +3 more
openaire   +1 more source

A Column Generation Approach to Solve Aircraft Recovery Problem

Modelling, Simulation and Identification / 854: Intelligent Systems and Control, 2017
openaire   +1 more source

A Multi-agent Reinforcement Learning Approach to the Schedule and Aircraft Recovery Problem in Airline Disruption Management

Unexpected events such as airport closures pose significant operational and financial challenges to the operations control centre, requiring decision-makers to make rapid and cost-efficient decisions that minimise the impacts and recover the schedule from these disruptions as soon as possible.
openaire   +1 more source

Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem

2025 IEEE International Conference on Big Data (BigData)
Dominik Zurek, Wieslaw Dudek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber   +5 more
openaire   +2 more sources

RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem

2024 IEEE International Conference on Big Data (BigData)
Dominik Zurek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber   +4 more
openaire   +1 more source

A self-adapting memetic algorithm with reinforcement learning for multi-objective aircraft recovery problems

Applied Soft Computing
Xiaoyi Jia, Tong Guo, Yi Mei, Mengjie Zhang, Fan Xiao, Xuechen Gu, Wenbo Du   +6 more
openaire   +1 more source

Machine Learning Assisted Dynamic Copy Generation Approach for Integrated Aircraft and Passenger Recovery Problem

Transportation Research Part C: Emerging Technologies
Yifan Xu, Zhiyuan Shen, Zhaoxuan Liu
openaire   +2 more sources