@conference { ISI:000371484600034, title = {Application of Multi-Agent Markov Decision Processes to Gate Assignment Problem}, booktitle = {2014 THIRD IEEE INTERNATIONAL COLLOQUIUM IN INFORMATION SCIENCE AND TECHNOLOGY (CIST{\textquoteright}14)}, series = {Colloquium in Information Science and Technology}, year = {2014}, note = {3rd IEEE International Colloquium on Information Science and Technology (CIST), Tetouan, MOROCCO, OCT 20-22, 2014}, pages = {196-201}, publisher = {IEEE; IEEE Comp Soc; IEEE Commun Soc; IEEE Morocco Sect; IEEE Morocco Comp \& Commun Joint Chapter; UAE IEEE Student Branch; Univ Abdelmalek Essaadi; ENSA Tetouan}, organization = {IEEE; IEEE Comp Soc; IEEE Commun Soc; IEEE Morocco Sect; IEEE Morocco Comp \& Commun Joint Chapter; UAE IEEE Student Branch; Univ Abdelmalek Essaadi; ENSA Tetouan}, abstract = {Gate assignment Problem (GAP) is an important subject of airport management to ensure smooth traffic operations. However, flights schedule may undergo some stochastic events such as delays that usually occur and have to be considered in the planning. Our approach considers the representation of gates as collaborative agents trying to complete a set of flights assignment tasks as given by a centralized controller. That will allow giving a new model for the GAP based on Multi Agent Markov Decision Processes (MMDP). The aim of this work is to give to controllers at the airport a robust priory solution instead of taking the risk of online schedule modifications to handle uncertainty. The solution of this problem will be a set of optimal decisions to be taken in every case of traffic disturbance.}, isbn = {978-1-4799-5979-2}, issn = {2327-185X}, author = {Aoun, Oussama and El Afia, Abdellatif}, editor = {ElMohajir, M and AlAchhab, M and Chahhou, M} } @conference { ISI:000380387700063, title = {A Robust Crew Pairing based on Multi-Agent Markov Decision Processes}, booktitle = {2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS)}, year = {2014}, note = {2014 Second World Conference on Complex Systems (WCCS), Agadir, MOROCCO, NOV 10-12, 2014}, pages = {762-768}, publisher = {Ibn Zohr Univ; Moroccan Soc of Complex Syst; IEEE Morocco; Int Acad for Syst and Cybernet Sci IASCYS}, organization = {Ibn Zohr Univ; Moroccan Soc of Complex Syst; IEEE Morocco; Int Acad for Syst and Cybernet Sci IASCYS}, abstract = {Airline scheduling is a real challenge in the context of the airline industry; this includes a lot of planning and operational decision problems and deals with a large number of interdependent resources. A prominent problem in airline scheduling is crew scheduling, specially pairings or Tour-of-Duty planning problem. The objective is to ensure optimal allocation of crews to flights by specifying the set of pairings that minimize the planned cost. The widely used algorithms assume no disruptions. However, airline operations often undergo stochastic disturbances that have to be taken into account in order to minimize the real operating cost. Recently, great interest has been given to robust crew scheduling with consideration of the stochastic nature of disturbances like technical breakdowns or bad weather conditions. In this paper, we develop a stochastic model of crew pairing problem based on Multi-agent Markov Decision Processes (MMDP); thus, the problem will be treated as finding the optimal policy to adopt in stochastic cases of disturbances. Also, a computational study is conducted to ensure validity of our proposed model.}, isbn = {978-1-4799-4647-1}, author = {Aoun, Oussama and El Afia, Abdellatif} } @conference { ISI:000346582400007, title = {Using Markov Decision Processes to Solve Stochastic Gate Assignment Problem}, booktitle = {PROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014)}, year = {2014}, note = {2nd IEEE International Conference on Logistics Operations Management (GOL), Rabat, MOROCCO, JUN 05-07, 2014}, pages = {42-47}, publisher = {IEEE; Mohammed VI Souissi Univ, ENSIAS Sch; Univ Le Havre; Sidi Mohamed Ben Abdellah Univ, FST}, organization = {IEEE; Mohammed VI Souissi Univ, ENSIAS Sch; Univ Le Havre; Sidi Mohamed Ben Abdellah Univ, FST}, abstract = {Airport traffic often undergoes some random disruptions, which have to be considered to ensure operational flight-gate assignments. Inadequate assignment of gates may result in flight delays that happen in airport operations and must be taken into account. Here, we are using the original algorithm, based on Markov decision process (MDP) to solve the gate assignment problem (GAP) under uncertainty; we include stochastic parameters that depend on probabilities to express fluctuations in flight operations. The use of MDP for modeling will provide for airport controllers a robust solution for the GAP that takes in consideration possible flight delays. This paper gives the corresponding model, which includes strict constraints of the GAP and other soft constraints like choice preferences of gates. We give experimental results on a sample of real data to demonstrate the feasibility and efficiency of our approach.}, isbn = {978-1-4799-4650-1}, author = {Aoun, Oussama and El Afia, Abdellatif}, editor = {Benadada, Y} }