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Cesar Beltran-Royo |
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Updated 12 /
September / 2024 |
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Cesar Beltran-Royo
Universidad Rey Juan Carlos
Departamental II, Despacho 037
Calle Tulipan, s/n
28933 Mostoles (Madrid)
ESPAÑA
cesar.beltranurjc.es
Tel: +34 91 488 83 22
1.
Artificial Intelligence
2.
Optimization
3.
Operations Research
4.
Applications (computer vision,
marketing, location, risk analysis,
scheduling, energy management, environment, oil well
placement, etc.)
2005-Now |
Universidad Rey Juan Carlos (URJC), Mostoles (Madrid), Spain |
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Associate professor in the Computer
Science and Statistics Department |
2021-Now |
CAPO Research (URJC), Mostoles (Madrid), Spain |
2002-2005 |
Logilab, HEC, University of Geneva (UG), Switzerland |
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Full time researcher in the operations research projects: |
1996-2001 |
Polytechnic University of Catalonia (UPC), Barcelona, Spain |
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Part time researcher in the operations research projects: |
1993-1995 |
Polytechnic University of Catalonia, Barcelona, Spain |
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Part time assistant professor in Statistics |
1992-2001 |
Ministry of Education, Barcelona, Spain |
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Mathematics teacher |
2002-2005 |
Logilab, HEC, University of Geneva, Switzerland |
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Postdoc stage: |
2001 |
Polytechnic University of Catalonia, Barcelona, Spain |
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MSc in Applied Mathematics: Optimization - Operations Research |
1991 |
University of Valencia, Spain |
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BSc in Mathematics |
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1.
C. Beltran-Royo. “Practical Linear Programming under
Uncertainty: The Conditional Scenario Approach”, CreateSpace
(Amazon), USA, 2017. link
2.
C. Beltran-Royo. “Optimal Decisions: How
to Optimize the Decisions of Everyday Life”, CreateSpace
(Amazon), USA, 2016. link
3.
C. Beltran-Royo. “Decisiones Optimas.
Como Optimizar las Cuestiones de la Vida Cotidiana”, CreateSpace
(Amazon), USA, 2014. link
4.
H. Zhang, L. Ma, C.
Beltran-Royo, "The Quadratic Assignment Problem and Its Linearization
Techniques", Shanghai People's Publishing House, China, 2013.
5.
C. Beltran-Royo, "The radar multiplier
method", Lambert Academic Publishing, Germany, 2009.
1.
C. Beltran, "Globally minimizing
even degree polynomials on the real line", Questiio,
Vol. 23, pp. 85-109, 1999. pdf
2.
C. Beltran, F. J. Heredia, "Short-term
hydrothermal coordination by augmented Lagrangian
relaxation: a new multiplier updating", Investigación
Operativa, Vol. 8, No. 1, 2 and 3, pp. 63-76,
1999. pdf
3.
C. Beltran, F. J. Heredia, "Unit commitment
by augmented Lagrangian relaxation: testing two
decomposition approaches", Journal of Optimization Theory and
Applications, Vol.112, No.2, pp. 295-314, 2002. pdf
4.
C. Beltran, F. J. Heredia, "An
effective line search for the subgradient
method", Journal of Optimization Theory and Applications, Vol.125,
No.1, pp. 1-18, 2005. pdf
5.
C. Beltran, L. Drouet, N. Edwards, A. B.
Haurie, J.-Ph. Vial, D. S. Zachary, "An oracle
method to couple climate and economic dynamics", book chapter in The
Coupling of Climate and Economic Dynamics, pp. 69-96, A. Haurie and L. Viguier (Ed.), Springer, 2005. pdf
6.
C. Beltran, N. Edwards, A. B. Haurie, J.-Ph. Vial, D. S. Zachary,
"Oracle-based optimization applied to climate model calibration", Environmental
Modeling and Assessment, Vol.11, No.1, pp. 31-43,
2006. pdf
7.
C. Beltran, C. Tadonki
and J.-Ph. Vial, "Solving the p-median
problem with a semi-Lagrangian relaxation", Computational
Optimization and Applications, Vol. 35, No. 2, pp. 239-260, 2006. pdf
8.
F. Baboneau, C. Beltran, A. B. Haurie, C.
Tadonki, J.-Ph. Vial, "Proximal-ACCPM: a
versatile oracle based optimization method", in E. J. Kontoghiorghes and C. Gatu
(Editors), "Optimisation, Econometric and Financial Analysis" volume
9 of book series on Advances in
Computational Management Science, pp. 69-92, Springer, 2007.
pdf
9.
C. Beltran-Royo, "A conjugate
Rosen's gradient projection method with global line search for piecewise linear
optimization", European
Journal of Operational Research, Vol. 182, No. 2, pp. 536-551,
2007. pdf
10.
C. Beltran-Royo, "The radar
method: An effective line search for piecewise linear concave functions", Annals of Operations Research, Vol. 166,
No. 1, pp. 299-312, 2009. pdf
11.
H. Zhang, C. Beltran-Royo, M. Constantino, "Effective formulation reductions for the
quadratic assignment problem", Computers
and Operations Research, Vol. 37, No. 11, pp. 2007-2016, 2010. pdf
12.
C. Beltran-Royo, J-Ph. Vial, A.
Alonso-Ayuso, "Semi-Lagrangian relaxation
applied to the uncapacitated facility location
problem", Computational
Optimization and Applications, Vol. 51, No. 1, pp. 387-409, 2012. pdf
13.
H. Zhang, C. Beltran-Royo, L. Ma, "Solving
the quadratic assignment problem by means of general purpose mixed integer
linear programming solvers", Annals
of Operations Research, Vol. 207, No. 1, pp. 261-278, 2013. pdf
14.
C. Beltran-Royo, H. Zhang, L. Blanco, J.
Almagro, "Multistage multiproduct advertising budgeting", European Journal of Operational Research,
Vol. 225, No. 1, pp. 179-188, 2013. pdf
15.
C. Beltran-Royo, L. F. Escudero, J. F. Monge, R. E. Rodriguez-Ravines, "An effective
heuristic for multistage linear programming with a stochastic right-hand side”,
Computers and Operations Research,Vol.
51, pp. 237-250, 2014. pdf
16.
C. Beltran-Royo, L. F. Escudero, H.
Zhang, "Multiperiod multiproduct advertising
budgeting: Stochastic optimization modeling”, Omega - The International Journal of
Management Science, Vol. 59, pp. 26-39, 2016. pdf Note: The empirical distributions of the beta
parameters can be found in this file
17.
H. Zhang, C. Beltran-Royo, B. Wang, L.
Ma, Z. Zhang, "Solution to the quadratic assignment problem using semi-Lagrangian relaxation”, Journal
of Systems Engineering and Electronics, Vol. 27, No. 5, pp. 1063-1072,
2016. pdf
18.
L. Qian, H. Zhang, C. Beltran-Royo,
"Hybrid ant colony algorithm for the uncapacitated
facility location problem”, Journal of
University of Shanghai for Science and Technology, Vol. 38, No. 4, pp.
367-372, 2016. pdf
19.
C. Beltran-Royo, "Two-stage
stochastic mixed-integer linear programming: The conditional scenario
approach”, Omega - The International
Journal of Management Science, Vol. 70, pp. 31-42, 2017. pdf
20.
Q. Li, H. Zhang, C. Beltran-Royo,
"Hybrid ant colony algorithm for capacitated p-median problem with
investment”, Application Research of
Computers, Vol. 34, No. 6, pp. 1704-1708, 2017. pdf
21.
H. Zhang, C. Beltran-Royo, B. Wang, L.
Ma, Z. Zhang, "Two-phase semi-Lagrangian
relaxation for solving the uncapacitated distribution
centers location problem for B2C E-commerce”, Computational Optimization and
Applications, Vol. 72, No. 3, pp. 827-848, 2019. pdf
22.
B. Martin, A. Sanchez, C. Beltran-Royo,
A. Duarte, "Solving the edge-disjoint
paths problem using a two-stage method”, International Transactions in Operational Research, Vol. 27, No. 1,
pp. 435-457, 2020. pdf
23.
C. Beltran-Royo,
"From Scenarios to Conditional Scenarios in Two-Stage
Stochastic MILP Problems”, International
Transactions in Operational Research, Vol. 28, No. 2, pp. 660-686, 2021. pdf
24.
L. Llopis-Ibor,
A. Cuesta-Infante, C. Beltran-Royo, J.J. Pantrigo, “Human Activity Recognition
with Capsule Networks”. In: Alba E. et al. (eds) Advances in Artificial Intelligence. CAEPIA
2021. Lecture Notes in Computer Science, Vol. 12882, pp. 75-85.
Springer, Cham, 2021. pdf
25.
C. Beltran-Royo, "Fast Scenario
Reduction by Conditional Scenarios in Two-Stage Stochastic MILP Problems”,
Optimization Methods and Software, Vol 37, No. 1, pp. 23-44, 2022. pdf
26.
L. Llopis-Ibor, C. Beltran-Royo, A.
Cuesta-Infante, J.J. Pantrigo, “Fast incremental learning by transfer learning
and hierarchical sequencing”, Expert Systems with Applications, Vol. 212, pp. 118580, 2023. pdf
27.
C. Beltran-Royo, L. Llopis-Ibor, I.
Ramirez, J.J. Pantrigo, “DC Neural Networks avoid overfitting in
one-dimensional nonlinear regression”, Knowledge-Based Systems, Vol. 283, pp. 111154, 2024. pdf
1.
C. Beltran and F. J. Heredia,
"Short-term hydrothermal coordination by augmented Lagrangian
relaxation: a new multiplier updating", IX-CLAIO, Buenos Aires, 1998.
2.
C. Beltran and F. J. Heredia, "Unit
commitment by augmented Lagrangian relaxation:
testing two decomposition approaches", 19th IFIP TC7, Cambridge, 1999.
3.
C. Beltran, "The radar subgradient method applied to the unit commitment
problem" 9th Stockholm Optimization Days, Stockholm, 2000.
4.
C. Beltran and F. J. Heredia, "The
radar multiplier method: a two-phase approach for nonlinear combinatorial
optimization problems", 21st IFIP TC 7 Conference on System Modeling and Optimization, Sophia Antipolis, France, July
21-25, 2003.
5.
C. Beltran, "The face simplex
method in the cutting plane framework", 18th International Symposium on
Mathematical Programming (ISMP2003), Copenhagen,
Denmark , August 18-22, 2003.
6.
C. Beltran, C. Tadonki
and J.-Ph. Vial, "Semi-Lagrangian
relaxation", Computational Management Science conference and workshop
on Computational Econometrics and Statistics, Neuchatel, Switzerland, 2-5
April, 2004.
7.
C. Beltran, C. Tadonki
and J.-Ph. Vial, "The p-median problem solved by semi-Lagrangian
relaxation" First Mathematical Programming Society International
Conference on Continuous Optimization (ICCOPT I), Troy, USA, August
2-4, 2004.
8.
C. Beltran-Royo, ''Summer School on
Geometric and Algebraic Approaches for Integer Programming'', CIM Thematic Term
on Optimization, University of Lisbon, Portugal, July 11-15, 2005.
9.
C. Beltran-Royo, J.-Ph. Vial, A.
Alonso-Ayuso, ''Improvements on the semi-Lagrangian
relaxation'', Applied Mathematical Programming and Modeling
(APMOD), Madrid, Spain, June 18-21, 2006.
10.
C. Beltran-Royo, J.-Ph. Vial, A.
Alonso-Ayuso, ''Solving the uncapacitated facility
location problem by semi-Lagrangian relaxation'',
19th International Symposium on Mathematical Programming
(ISMP2006), Rio de Janeiro, Brazil, July 30 - August 4, 2006.
11.
H. Zhang, C. Beltran-Royo, M. Constantino, ''Semi-Lagrangian
Relaxation Applied to the Quadratic Assignment Problem'', 21st Conference of the European Chapter on Combinatorial
Optimization (ECCO XXI), Dubrovnik, Croatia, May 29-31, 2008.
12.
H. Zhang, C. Beltran-Royo, M. Constantino, ''The
Quadratic Assignment Problem Solved by Semi-Lagrangian
Relaxation'', International Conference on Operational Research
(IWOR-2008), Madrid, Spain, June 5-7, 2008.
13.
C. Beltran-Royo, L. F. Escudero, R. Rodriguez Ravines, '' Multi-stage Stochastic Linear Programming: An Approach by Events'', 6th International Conference on Computational Management Science,
Geneva, Switzerland, May 1–3, 2009.
14.
H. Zhang, C. Beltran-Royo, M. Constantino, ''The
Quadratic Assignment Problem Solved by Semi-Lagrangian
Relaxation-II '',
23rd European Conference on Operational Research (EURO),
Bonn, Germany, July 5 - 8, 2009.
15.
H. Zhang, C. Beltran-Royo, L. Ma, ''Effective
Small formulations for the Quadratic Assignment Problem'', 23rd Conference of the European Chapter on
Combinatorial Optimization (ECCO XXIII),
Málaga, Spain, May 27-29, 2010.
16.
C. Beltran-Royo, L. F. Escudero, R. E.
Rodriguez-Ravines, ''Scenarios and events in multi-stage stochastic linear
programming'', 24th European Conference on Operational
Research (EURO), Lisbon, Portugal, July 11 - 14, 2010.
17.
H. Zhang, C. Beltran-Royo, “Binary reoptimization and semi-Lagrangian
relaxation applied to solve the uncapacitated
facility location problem”, 24th
Conference of the European Chapter on
Combinatorial Optimization (ECCO XXIV),
Amsterdam, Nederlands, May 30-June 1, 2011.
18.
C. Beltran-Royo, H. Zhang, L. Blanco, J.
Almagro, “Multistage Multiproduct Advertising Budgeting’’, 25th European Conference on Operational
Research (EURO), Vilnius, Lithuania, July 8 - 11, 2012.
19.
C. Beltran-Royo, L. F. Escudero, J. F. Monge, R. E. Rodriguez-Ravines, "An Effective
Heuristic for Multistage Stochastic Linear Programming", XIII
International Conference on Stochastic Programming (ICSP2013) Bergamo, Italy,
July 8 - 12, 2013.
20.
C. Beltran-Royo, L. F. Escudero, H.
Zhang, “Multiperiod Multiproduct Advertising
Budgeting: Stochastic Optimization Modeling”, 20th
Conference of the International Federation of Operational Research Societies
(IFORS), Barcelona, Spain, July 13 - 18, 2014.
21.
C. Beltran-Royo, L. F. Escudero, H.
Zhang, “An Effective Stochastic Optimization Model for Advertising
Budgeting”, Joint ORSC/EURO
International Conference on Continuous Optimization, Shanghai, China, May 10 -
12, 2015.
22.
C. Beltran-Royo, “Two-Stage Stochastic Mixed-Integer Linear Programming: The Conditional Scenario Approach”, 28th European Conference on
Operational Research (EURO), Poznan, Poland, July 3 - 6, 2016.
23.
C. Beltran-Royo, "Two-Stage Stochastic Linear
Programming: From scenarios to conditional scenarios", Conference on Computational Management Science
(CMS2017) Bergamo, Italy, May 30 - 31, June 1, 2017.
24.
C. Beltran-Royo, “Scenario Reduction by Conditional Scenarios”,
29th European Conference on Operational Research (EURO), Valencia, Spain, July
8 - 11, 2018.
25.
C. Beltran-Royo, “Fast Scenario
Reduction by Conditional Scenarios in Two-Stage Stochastic MILP Problems”, XV
International Conference on Stochastic Programming (ICSP XV), Trondheim,
Norway, July 29 - August 2, 2019.
26.
L. Llopis-Ibor,
A. Cuesta-Infante, C. Beltran-Royo, J.J. Pantrigo, "Human Activity
Recognition with Capsule Networks", 19th Conference of the Spanish
Association for Artificial Intelligence (CAEPIA 2020/2021), Malaga, Spain,
September 22 - 24, 2021.
27.
The 32nd British Machine Vision
Conference (BMVC 2021): Online 22nd - 25th November 2021.
1.
UPC, 1996-1999: “Planificación óptima de gran dimensión de la
producción hidrotérmica de energía eléctrica a corto
plazo”, director Narcís Nabona-Francisco.
Ministerio de Educación y Ciencia,
TAP96-1044-J02-93.
2.
UPC, 2000-2002: “Planificación óptima de gran dimensión de la
producción hidrotérmica de energía eléctrica en entornos competitivos”.
Director: Narcís Nabona-Francisco.
Ministerio de Educación y Ciencia, TAP96-1075-C02-01.
3.
UPC, 2003-2005: “Coordinación a corto y largo plazo de la
producción de energía eléctrica en un mercado liberalizado”. Director: Narcís Nabona-Francisco.
Ministerio de Educación y Ciencia, DPI 2002-03330.
4.
Suiza, 2002-2003: “Proximal-ACCPM: An advanced computational tool for variational inequality problems and branch and cut approaches
in combinatorial optimization”. Director: Jean-Philippe Vial. Swiss Nacional
Fund for Scientific Research, grant 12-57093.99.
5.
Suiza, 2003-2004: “Climate risk assessment - Work package 4”. Director: Alain
Haurie. Swiss Nacional Fund for Scientific Research,
Climate grant.
6.
URJC, 2005-2006: “Un sistema de ayuda a la toma de decisiones en
problemas de rutas y localización 2”. Director: Antonio Alonso-Ayuso.
Ministerio de Educación y Ciencia, DPI2002-03330, TIC2003-05982-C05-05.
7. URJC, 2006-2009: “Optimización para la movilidad sostenible”. Director: Antonio Alonso-Ayuso. Ministerio de Educación y Ciencia, DPI2002-03330, MTM2006-14961-C5-05.
8.
URJC, 2007-2008: “Optimización con restricciones no convexa,
basada en la combinación eficiente de direcciones”. Director:
Javier Martinez-Moguerza, URJC-CM-2006-CEF-0391.
9. URJC, 2007-2010: “Modelos de Optimización para la gestión del tráfico aéreo”. Director: Antonio Alonso Ayuso, Empresa financiadora: GMV (Consorcio Atlántida) – Programa Cenit.
10. URJC, 2008-2009: “Mejoras de la programación entera y estocástica desde la optimización convexa. Aplicación a la movilidad sostenible”. Director: Cesar Beltran-Royo. Consejería de Educación, Comunidad de Madrid, URJC-CM-2007-CET-1622.
11. URJC, 2009-2009: “Desarrollo de modelos y algoritmos de programación estocástica entera no lineal. Aplicación a la gestión de ingresos bajo incertidumbre”. Director: Laureano F. Escudero-Bueno, URJC-CM-2008-CET-3703.
12. URJC, 2009-2012: “Modelos y métodos de programación matemática y sus aplicaciones (Óptimos 2)”. Director: Antonio Alonso-Ayuso. Ministerio de Educación y Ciencia, MTM2009-14039-C06-03.
13. URJC, 2010-2014: “Riesgos: análisis, gestión y aplicaciones (Riesgos CM)”. Director: David Ríos Insua. Consejería de Educación, Comunidad de Madrid, S2009/esp-1594.
14. URJC, 2011-2015: “Convenio de investigación entre la Universidad Rey Juan Carlos y Bayes Inference S.A.”. Investigador responsable: Cesar Beltran-Royo.
15. URJC, 2013-2015: “Modelos y métodos de programación matemática y sus aplicaciones (Óptimos 3)”. Director: Antonio Alonso-Ayuso. Ministerio de Educación y Ciencia, MTM2012-36163-C06-06.
16. URJC, 2013-2014: “Localización óptima de pozos de petróleo”. Director: Cesar Beltran-Royo. Proyecto número 2 del Acuerdo de Colaboración entre MathIn y Repsol.
17.
China, 2015-2017: “Study on the fast
Semi-Lagrangian bat-inspired algorithm for (mixed)
integer programming problem and its applications”. Director: Huizhen Zhang.
National Science Foundation of China (grant No. 71401106).
18. URJC, 2016-2018: “Gestión del riesgo y optimización matemática: aplicaciones (GROMA)”. Director: Antonio Alonso-Ayuso. Ministerio de Economía y Competitividad, MTM2015-63710-P.
19.
URJC, 2019-2020: “Mathematical
optimization for logistic management in the chemical industry”. Director: Antonio
Alonso Ayuso, Empresa financiadora:
Repsol.
20. URJC, 2019-2021: “Optimización matemática y ciencia de datos en la industria”. Director: Antonio Alonso-Ayuso. Ministerio de Ciencia, Innovación y Universidades, RTI2018-094269-B-I00.
21. URJC, 2022-2024: “Ojos inteligentes para gemelos digitales (Smart eyes on digital twins)” - EYEoT. Directores: Alfredo Cuesta, Raúl Cabido. Ministerio de Ciencia, Innovación, PID2021-128362-OB-I00.
22.
URJC, 2022-2024: “Gemelo digital de alta fidelidad de las
fuentes móviles de contaminantes en ciudades (High-fidelity
digital twin of mobile sources of pollutants in cities)” - POLLUTWIN. Directores: Antonio Sanz Montemayor. Proyectos
de transición ecológica y transición digital. Ministerio de Ciencia, Innovación, 2021, 4663130516-130516-28521