Results 161 to 170 of about 3,450 (188)
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A two stage heuristic algorithm for the integrated aircraft and crew schedule recovery problems

Computers and Industrial Engineering, 2015
We propose a new heuristic algorithm for the integrated aircraft and crew schedule recovery problem.We propose a new model for the integrated aircraft and flight recovery problem.We propose a new model for the crew schedule recovery problem.Three sets of disruption scenarios are simulated to test algorithms performance.
Chuhang Yu
exaly   +5 more sources

A column generation-based heuristic for aircraft recovery problem with airport capacity constraints and maintenance flexibility

Transportation Research Part B: Methodological, 2018
Abstract We consider the aircraft recovery problem (ARP) with airport capacity constraints and maintenance flexibility. The problem is to re-schedule flights and re-assign aircraft in real time with minimized recovery cost for airlines after disruptions occur.
Zhe Liang, Xianfei Jin, Xiongwen Qian
exaly   +3 more sources

Optimization of short-haul aircraft schedule recovery problems using a hybrid multiobjective genetic algorithm

Expert Systems With Applications, 2010
A hybrid multiobjective genetic algorithm is presented in this paper to find an efficient solution for the daily short-haul aircraft schedule recovery problems which usually happen due to some disturbance events and require a time-sensitive solution to meet various hard constraints and soft objectives.
Jyh-Horng Chou   +2 more
exaly   +3 more sources

An Iterative Heuristics Algorithm for Solving the Integrated Aircraft and Passenger Recovery Problem

2014
Airline disruption incurred huge cost for airlines and serious inconvenience for travelers. In this paper, we study the integrated aircraft and passenger schedule recovery problem. To efficiently solve this problem, we proposed decomposition method to divide the whole problem into two smaller problems.
Lau, HYK, Zhang, D
openaire   +2 more sources

A Bundle Algorithm Approach for the Aircraft Schedule Recovery Problem During Hub Closures

Transportation Science, 2003
A bundle algorithm is presented to solve a multicommodity network model for determining a recoveryplanfor a single carrier with multiple fleets following a hub closure. The algorithm is shown to provide feasible near-optimal solutions much more quickly than can be obtained using a standard commercial mixed-integer programming code (CPLEX).
Benjamin G. Thengvall   +2 more
openaire   +1 more source

A hybrid multiobjective genetic algorithm on optimizing aircraft schedule recovery problems under short-time response

Conference Proceedings IEEE International Conference on Systems, Man, and Cybernetics, 2008
This article presents a hybrid multiobjective genetic algorithm to aid the tracking of the daily aircraft schedule recovery problem under disturbance events such as severe weather and mechanical problems. The proposed algorithm extends from the original method of inequality-based multiobjective genetic algorithm (MMGA) and utilizes an adaptive ...
Wen-Hsien Ho   +2 more
exaly   +2 more sources

A Weight-Table Based Heuristic Algorithm for Aircraft Recovery Problem

2018 37th Chinese Control Conference (CCC), 2018
Severe weather conditions as typhoon and storm will cause disruptions, which have bad effect on original flight schedule. Hence, the original flight schedule must be revised to cope with these conditions. The normal recovery process mainly include aircraft recovery, crew recovery and passenger recovery.
Tong Zhao, Xiong Chen
exaly   +2 more sources

A Methodology Combining Optimization and Simulation for Real Applications of the Stochastic Aircraft Recovery Problem

2013 8th EUROSIM Congress on Modelling and Simulation, 2013
The Aircraft Recovery Problem appears when external events cause disruptions in a flight schedule. Thus in order to minimize the losses caused by the externalities, aircrafts must be reallocated (rescheduled) in the best possible way. The aim of this paper is to develop a suitable methodology that combines optimization techniques with a simulation ...
Pol Arias   +3 more
openaire   +1 more source

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