Meritxell Pacheco
This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Meritxell Pacheco.
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- Papers in international journals (2)
- Papers in conference proceedings (3)
- Technical reports (2)
- Seminar (20)
- Awards and distinctions (3)
- Research projects (1)
- Regular teaching (5)
- Miscellaneous lectures (14)
- Project supervision (13)
International journals
Published
Total: 2
- Pacheco, M., Gendron, B., Sharif Azadeh, S., and Bierlaire, M. (2022). A Lagrangian decomposition scheme for choice-based optimization, Computers & Operations Research 148:105985. doi:10.1016/j.cor.2022.105985
- Pacheco, M., Bierlaire, M., Gendron, B., and Sharif Azadeh, S. (2021). Integrating advanced discrete choice models in mixed integer linear optimization , Transportation Research Part B: Methodological 146:26-49. doi:10.1016/j.trb.2021.02.003
Papers in conference proceedings
- Pacheco, M., Gendron, B., Lurkin, V., Sharif Azadeh, S., and Bierlaire, M. (2018). A Lagrangian relaxation technique for the demand-based benefit maximization problem. Proceedings of the 18th Swiss Transport Research Conference (STRC) 16-18 May, 2018.
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B. (2017). Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case. Proceedings of the 17th Swiss Transport Research Conference (STRC) 17-19 May, 2017.
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M. (2016). A new mathematical representation of demand using choice-based optimization method. Proceedings of the 16th Swiss Transport Research Conference (STRC) 18-20 May, 2016.
Technical reports
- Pacheco, M., Gendron, B., Sharif Azadeh, S., and Bierlaire, M. (2021). A Lagrangian decomposition scheme for choice-based optimization. Technical report TRANSP-OR 210827. Transport and Mobility Laboratory, ENAC, EPFL.
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B. (2017). Integrating advanced discrete choice models in mixed integer linear optimization. Technical report TRANSP-OR 170714. Transport and Mobility Laboratory, ENAC, EPFL.
Seminars
- Pacheco, M., Gendron, B., Bierlaire, M., and Sharif Azadeh, S., A Lagrangian decomposition scheme for the choice-based optimization framework. OR seminar, Erasmus University Rotterdam, June 26, 2020,
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M., Passenger satisfaction maximization within a demand-based optimization framework. 19th Swiss Transport Research Conference (STRC), May 16, 2019, Monte Verità, Ascona, Switzerland
- Pacheco, M., Gendron, B., Lurkin, V., Bierlaire, M., and Sharif Azadeh, S., A Lagrangian relaxation technique for the demand-based benefit maximization problem. Annual international conference of the German Operations Research Society (OR2018), Université libre de Bruxelles, September 14, 2018, Brussels, Belgium
- Pacheco, M., Gendron, B., Lurkin, V., Bierlaire, M., and Sharif Azadeh, S., A Lagrangian relaxation technique for the demand-based benefit maximization problem. hEART 2018, 7th Symposium of the European Association for Research in Transportation, National Technical University of Athens, September 06, 2018, Athens, Greece
- Pacheco, M., Sharif Azadeh, S., Gendron, B., Bierlaire, M., and Lurkin, V., Integrating discrete choice models in mixed integer linear programming to capture the interactions between supply and demand. 15th International Conference on Travel Behavior Research, University of California Santa Barbara, July 17, 2018, Santa Barbara, CA, USA
- Pacheco, M., Gendron, B., Lurkin, V., Sharif Azadeh, S., and Gendron, B., Lagrangian relaxation for the demand-based benefit maximization problem. Workshop on Discrete Choice Models 2018, EPFL, June 22, 2018, Lausanne, Switzerland
- Pacheco, M., Gendron, B., Lurkin, V., Sharif Azadeh, S., and Bierlaire, M., Lagrangian relaxation for the demand-based benefit maximization problem. 16th Swiss Operations Research Days, Universität Bern, June 12, 2018, Bern, Switzerland
- Pacheco, M., Gendron, B., Lurkin, V., Sharif Azadeh, S., and Bierlaire, M., A Lagrangian relaxation technique for the demand-based benefit maximization problem. 18th Swiss Transport Research Conference (STRC), May 17, 2018, Monte Verità, Ascona, Switzerland
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B., Integrating advanced discrete choice models in mixed integer linear optimization. ORBEL 32 Conference , HEC Liège, February 02, 2018, Liège, Belgium
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B., A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction. Annual international conference of the German Operations Research Society (OR2017), Freie Universität Berlin, September 07, 2017, Berlin, Germany
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B., Integrating supply and demand within the framework of mixed integer linear problems. 21st Conference of the International Federation of Operational Research Societies, IFORS, July 19, 2017, Québec City, Canada
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B., Lagrangian relaxation for the integration of discrete choice models in mixed integer linear problems. 15th Swiss Operations Research Days, Université de Fribourg, June 30, 2017, Fribourg, Switzerland
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B., Integrating advanced discrete choice models in mixed integer linear optimization. Workshop on Discrete Choice Models 2017, EPFL, June 22, 2017, Lausanne, Switzerland
- Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B., Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case. 17th Swiss Transport Research Conference (STRC), May 18, 2017, Monte Verità, Ascona, Switzerland
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M., A new mathematical formulation to integrate supply and demand within a choice-based optimization framework. Seminario en el Departamento de Ingeniería de Transporte y Logística, Pontificia Universidad Católica de Chile, October 13, 2016, Santiago de Chile, Chile
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M., A new mathematical formulation to integrate supply and demand within a choice-based optimization framework. Seminario ISCI, Universidad de Chile, October 12, 2016, Santiago de Chile, Chile
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M., Integrating supply and demand within the framework of mixed integer optimization problems mixed integer optimization problems. hEART 2016, 5th Symposium of the European Association for Research in Transportation, Delft University of Technology, September 15, 2016, Delft, Netherlands
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M., A new mathematical formulation to integrate supply and demand within a choice-based optimization framework. EURO 2016, July 06, 2016, Poznan, Poland
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M., Incorporating advanced behavioral models in mixed linear optimization. Ninth Triennial Symposium on Transportation Analysis (TRISTAN IX), June 14, 2016, Oranjestad, Aruba
- Pacheco, M., Sharif Azadeh, S., and Bierlaire, M., A new mathematical formulation to integrate supply and demand within a choice-based optimization framework. 16th Swiss Transport Research Conference (STRC), May 18, 2016, Monte Verità, Ascona, Switzerland
Awards
- Meritxell Pacheco : PhD mobility award 2017, August 09, 2017. Institution: Doctoral School Civil and Environmental Engineering (EDCE). Description: The PhD Mobility Award is given by the doctoral program in Civil and Environmental Engineering (EDCE) to encourage good PhD students within the program to go for an academic visit to an external research institution.
- Meritxell Pacheco : V Abertis International Research Award, October 14, 2016. Institution: International Abertis Chairs Network. Description: The Abertis International Research Prize in Transportation is awarded among the pool of national winning projects of the International Abertis Chairs Network.
- Meritxell Pacheco : XIII Abertis Prize for Management of Transportation Infrastructures, May 24, 2016. Institution: Abertis-UPC Chair. Description: The Abertis Prize for research in management of transportation infrastructures is aimed at studies and unpublished research conducted by students at Spanish universities that address various aspects related to the management of transportation infrastructures and services.
Research projects
- Incorporating advanced behavioral models in mixed integer linear optimization
- Sponsor: Swiss National Science Foundation
- Team: Michel Bierlaire (PI), Shadi Sharif Azadeh (PM), Meritxell Pacheco
- Period: April 01, 2016-March 31, 2019
- Discrete choice models are used for detailed representation of the "demand". However, their complexity makes mathematical formulations highly non convex in the explanatory variables. On the other hand, Mixed Integer Linear Programs (MILP) are optimization problems with discrete variables that are used in many applications to design and configure the "supply". In this project, we propose a new modeling framework that allows to include any random utility model in a mixed integer optimization formulation. The heterogeneity of demand is captured within the general choice model framework and the offers are tailored in a way that is beneficial for users as wells as providers. The main objective of the project is to obtain a framework that is both general, so that it can be applied in many applications, and operational, so that it can be used in practice.
Regular teaching
- Mathematical modeling of behavior
- Year: Fall 2019
- Section(s): Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistant: Tim Hillel, Meritxell Pacheco, Janody Pougala, Nicola Ortelli
- Webpage: https://moodle.epfl.ch/course/view.php?id=1001
- Mathematical modeling of behavior
- Year: Fall 2018
- Section(s): Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistant: Meritxell Pacheco, Yuki Oyama, Nicholas Molyneaux
- Webpage: http://transp-or.epfl.ch/courses/dca2018
- Mathematical modeling of behavior
- Year: Fall 2017
- Section(s): Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistant: Meritxell Pacheco, Anna Fernandez Antolin, Evanthia Kazagli, Yuki Oyama
- Webpage: http://transp-or.epfl.ch/courses/dca2017
- Decision-aid methodologies in transportation
- Year: Spring 2017
- Section(s): Civil Engineering
- Lecturers: Virginie Lurkin, Mor Kaspi
- Teaching assistant: Tomás Robenek, Stefan Binder, Iliya Markov, Meritxell Pacheco
- Webpage: http://moodle.epfl.ch/enrol/index.php?id=15132
- Mathematical modeling of behavior
- Year: Fall 2016
- Section(s): Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistant: Evanthia Kazagli, Anna Fernandez Antolin, Meritxell Pacheco
- Webpage: http://transp-or.epfl.ch/courses/dca2016
Miscellaneous lectures
- Bayesian Estimation; Individual Prediction
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 27, 2019
- School: EPFL
- Lecturer: Rico Krueger
- Assistants: Tim Hillel, Selin Atac, Meritxell Pacheco
- Logit Mixtures; Combining RP and SP data
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 26, 2019
- School: EPFL
- Lecturer: Meritxell Pacheco
- Assistants: Tim Hillel, Rico Krueger
- Nested Logit; Aggregate Forecasting
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 25, 2019
- School: EPFL
- Lecturer: Selin Atac
- Assistants: Meritxell Pacheco, Yuki Oyama, Tim Hillel
- Introduction; Logit Estimation; Specification Testing
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 24, 2019
- School: EPFL
- Lecturer: Tim Hillel
- Assistants: Meritxell Pacheco, Yuki Oyama, Selin Atac
- Logit Mixture; Hybrid Choice Models
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 14, 2018
- School: EPFL
- Lecturer: Meritxell Pacheco
- Assistants: Anna Fernandez Antolin, Yuki Oyama, Maëlle Zimmermann
- Forecasting; Combining RP & SP
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 13, 2018
- School: EPFL
- Lecturer: Meritxell Pacheco
- Assistants: Anna Fernandez Antolin, Yuki Oyama, Maëlle Zimmermann
- Specification Testing; Nested Logit
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 12, 2018
- School: EPFL
- Lecturer: Anna Fernandez Antolin
- Assistants: Meritxell Pacheco, Yuki Oyama, Maëlle Zimmermann
- Introduction; Logit Estimation
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 11, 2018
- School: EPFL
- Lecturer: Anna Fernandez Antolin
- Assistants: Meritxell Pacheco, Yuki Oyama, Maëlle Zimmermann
- Hybrid Choice Models (ctd)
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 16, 2017-February 16, 2017
- School: EPFL
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
- Logit Mixture; Hybrid Choice Models
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 15, 2017-February 15, 2017
- School: EPFL
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
- Forecasting; Combining RP and SP
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 14, 2017-February 14, 2017
- School: EPFL
- Lecturer: Meritxell Pacheco
- Assistants: Evanthia Kazagli, Matthieu de Lapparent, Anna Fernandez Antolin
- Nested logit; Specification testing
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 13, 2017-February 13, 2017
- School: EPFL
- Lecturer: Evanthia Kazagli
- Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin
- Introduction; Logit estimation
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 12, 2017-February 12, 2017
- School: EPFL
- Lecturer: Evanthia Kazagli
- Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin
- Introduction; binary choice
- Program: Discrete Choice Analysis: Predicting Demand and Market Shares, March 20, 2016-March 20, 2016
- School: EPFL
- Lecturer: Evanthia Kazagli
- Assistants: Anna Fernandez Antolin, Meritxell Pacheco
Project supervision
Masters theses
- René Lugrin
- Section: Civil Engineering
- Investigations on a pilot-survey for modelling mobility behaviours in Switzerland
- Supervision:Meritxell Pacheco, Michel Bierlaire
- Expert: Sylvie Garda
- 23/09/2019-24/01/2020
- Oliver Buschor
- Section: Civil Engineering
- Disruption-caused railway timetable rescheduling problem and its solution
- Supervision:Meritxell Pacheco, Stefano Bortolomiol, Michel Bierlaire
- Expert: Hellwig Matthias
- 01/08/2019-20/12/2019
Semester projects
- Welfare-maximizing design of a transportation system, Benjamin Nicolas--Noir, May 29, 2020
- Disruption-caused railway timetable rescheduling problem and its solution, Oliver Mathias Buschor, June 21, 2019
- Passenger satisfaction maximization under budget constraints, Tatiana Moavensadeh-Ghasnavi, June 03, 2019
- Optimization of school accessibility in developing countries, Yassine El Ouazzani, Oliver Mathias Buschor (SGC), December 21, 2018
- Locating charging station for electric taxis, Oliver Mathias Buschor, Younes Bensaid, December 21, 2018
- Design of a stated-preferences survey for a high-speed vacuum transportation mode, Thibaut Richard et Martí Montesinos Ferrer, June 20, 2018
- Safer schools thanks to an improved transport access in developing countries, Zora Oswald, June 16, 2018
- Integrating demand and supply in the context of airlines, Thibaut Richard et Gabriel Curis (SGC), January 24, 2018
- Modeling purchases of new cars for 2015: a comparison between countries, Martí Montesinos (SGC), June 19, 2017
- Investigating the role of attitudes in the purchase of new cars, Nicola Ortelli, January 23, 2017
- Pricing and capacity allocation strategies for a demand-based revenues maximization problem, Jonathan Lachkar (SGC), December 23, 2016