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Mariano Luque
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2020 – today
- 2024
- [c6]Rubén Saborido
, Ana Belen Ruiz
Composite Quality Indicators to Evaluate the Performance of Population-based Multiobjective Optimization Algorithms. GECCO Companion 2024: 363-366 - 2022
- [j38]Sandra González-Gallardo, Carla Oliveira Henriques
A novel approach for exploring the trade-offs between several features of students' well-being. Int. Trans. Oper. Res. 29(3): 1723-1748 (2022) - [j37]Carla Oliveira Henriques
Coupling distinct MOLP interactive approaches with a novel DEA hybrid model. Int. Trans. Oper. Res. 29(5): 3207-3228 (2022) - [j36]Mariano Luque, Óscar D. Marcenaro-Gutierrez, Sandra González-Gallardo
Towards a framework to combine multiobjective optimization and econometrics and an application in economics of education. RAIRO Oper. Res. 56(3): 2015-2035 (2022) - 2021
- [j35]Sandra González-Gallardo
Preference-Based Evolutionary Multiobjective Optimization Through the Use of Reservation and Aspiration Points. IEEE Access 9: 108861-108872 (2021) - [j34]Óscar D. Marcenaro-Gutierrez
Evaluating the potential trade-off between students' satisfaction and school performance using evolutionary multiobjective optimization. RAIRO Oper. Res. 55(Supplement): S1051-S1067 (2021) - [c5]Sandra González-Gallardo, Rubén Saborido, Ana Belen Ruiz, Mariano Luque:
Desirable Objective Ranges in Preference-Based Evolutionary Multiobjective Optimization. EvoApplications 2021: 227-241 - 2020
- [j33]Carla Oliveira Henriques
New conditions for testing necessarily/possibly efficiency of non-degenerate basic solutions based on the tolerance approach. Eur. J. Oper. Res. 283(1): 341-355 (2020) - [j32]Ana Belen Ruiz
Preference-based evolutionary multi-objective optimization for portfolio selection: a new credibilistic model under investor preferences. J. Glob. Optim. 76(2): 295-315 (2020) - [j31]Mariano Luque
Adaptive Global WASF-GA to handle many-objective optimization problems. Swarm Evol. Comput. 54: 100644 (2020)
2010 – 2019
- 2019
- [c4]Rubén Saborido
IRA-EMO: Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization. EMO 2019: 618-630 - 2018
- [j30]Antonio J. Nebro
InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms. Swarm Evol. Comput. 40: 184-195 (2018) - [c3]Sandra González-Gallardo
An Improvement Study of the Decomposition-Based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization. CAEPIA 2018: 219-229 - 2017
- [j29]Rubén Saborido
Global WASF-GA: An Evolutionary Algorithm in Multiobjective Optimization to Approximate the Whole Pareto Optimal Front. Evol. Comput. 25(2): 309-349 (2017) - 2016
- [j28]Rubén Saborido
Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection. Appl. Soft Comput. 39: 48-63 (2016) - 2015
- [j27]Mariano Luque
On the use of the Lp distance in reference point-based approaches for multiobjective optimization. Ann. Oper. Res. 235(1): 559-579 (2015) - [j26]Mariano Luque
On the potential balance among compulsory education outcomes through econometric and multiobjective programming analysis. Eur. J. Oper. Res. 241(2): 527-540 (2015) - [j25]Ana Belen Ruiz
E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method. Eur. J. Oper. Res. 246(1): 218-231 (2015) - [j24]Mariano Luque
Equivalent reference points in multiobjective programming. Expert Syst. Appl. 42(4): 2205-2212 (2015) - [j23]Ana Belen Ruiz
A combined interactive procedure using preference-based evolutionary multiobjective optimization. Application to the efficiency improvement of the auxiliary services of power plants. Expert Syst. Appl. 42(21): 7466-7482 (2015) - [j22]Ana Belen Ruiz
A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm. J. Glob. Optim. 62(1): 101-129 (2015) - [j21]Kaisa Miettinen
A new preference handling technique for interactive multiobjective optimization without trading-off. J. Glob. Optim. 63(4): 633-652 (2015) - [j20]Mariano Luque
Modified interactive chebyshev algorithm (MICA) for non-convex multiobjective programming. Optim. Lett. 9(1): 173-187 (2015) - [c2]Ana Belen Ruiz
An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA. EMO (2) 2015: 249-263 - 2012
- [j19]Francisco Ruiz
Improving the computational efficiency in a global formulation (GLIDE) for interactive multiobjective optimization. Ann. Oper. Res. 197(1): 47-70 (2012) - [j18]Kalyanmoy Deb, Francisco Ruiz
On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization. Appl. Soft Comput. 12(10): 3300-3311 (2012) - [j17]Mariano Luque
A two-slope achievement scalarizing function for interactive multiobjective optimization. Comput. Oper. Res. 39(7): 1673-1681 (2012) - [j16]Mariano Luque
A synchronous reference point-based interactive method for stochastic multiobjective programming. OR Spectr. 34(4): 763-784 (2012) - 2011
- [j15]Mariano Luque
Global formulation for interactive multiobjective optimization. OR Spectr. 33(1): 27-48 (2011) - 2010
- [j14]Óscar D. Marcenaro-Gutierrez
An application of multiobjective programming to the study of workers' satisfaction in the Spanish labour market. Eur. J. Oper. Res. 203(2): 430-443 (2010) - [j13]Mariano Luque
Modified interactive Chebyshev algorithm (MICA) for convex multiobjective programming. Eur. J. Oper. Res. 204(3): 557-564 (2010) - [j12]Kaisa Miettinen
NAUTILUS method: An interactive technique in multiobjective optimization based on the nadir point. Eur. J. Oper. Res. 206(2): 426-434 (2010) - [j11]María del Mar Muñoz
INTEREST: a reference-point-based interactive procedure for stochastic multiobjective programming problems. OR Spectr. 32(1): 195-210 (2010)
2000 – 2009
- 2009
- [j10]Francisca Miguel
A Decomposition-Coordination Method for Complex Multi-Objective Systems. Asia Pac. J. Oper. Res. 26(6): 735-757 (2009) - [j9]Brandon Yu Han Wong, Mariano Luque
Using interactive multiobjective methods to solve DEA problems with value judgements. Comput. Oper. Res. 36(2): 623-636 (2009) - [j8]Francisco Ruiz
A classification of the weighting schemes in reference point procedures for multiobjective programming. J. Oper. Res. Soc. 60(4): 544-553 (2009) - [j7]Mariano Luque
PROJECT Method for Multiobjective Optimization Based on Gradient Projection and Reference Points. IEEE Trans. Syst. Man Cybern. Part A 39(4): 864-879 (2009) - [c1]Jose Manuel Cabello
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms. IEEE Congress on Evolutionary Computation 2009: 1193-1200 - [i1]Matthias Ehrgott, Jussi Hakanen, Hisao Ishibuchi, Andreas Löhne, Mariano Luque, Kaisa Miettinen, Wlodzimierz Ogryczak, Olexandr Romanko, Theodor J. Stewart, Andrzej P. Wierzbicki:
09041 Working Group 4: MCDM and RIMO. Hybrid and Robust Approaches to Multiobjective Optimization 2009 - 2008
- [j6]Francisco Ruiz
An additive achievement scalarizing function for multiobjective programming problems. Eur. J. Oper. Res. 188(3): 683-694 (2008) - 2007
- [j5]Mariano Luque
Equivalent Information for Multiobjective Interactive Procedures. Manag. Sci. 53(1): 125-134 (2007) - 2005
- [j4]Rafael Caballero
MOPEN: A computational package for Linear Multiobjective and Goal Programming problems. Decis. Support Syst. 41(1): 160-175 (2005) - 2002
- [j3]Rafael Caballero
Hierarchical generation of Pareto optimal solutions in large-scale multiobjective systems. Comput. Oper. Res. 29(11): 1537-1558 (2002) - [j2]Rafael Caballero, Mariano Luque, Julián Molina Luque, Francisco Ruiz:
Promoin: An Interactive System for Multiobjective Programming. Int. J. Inf. Technol. Decis. Mak. 1(4): 635-656 (2002) - 2001
- [j1]Trinidad Gómez
Multiple objectives decomposition-coordination methods for hierarchical organizations. Eur. J. Oper. Res. 133(2): 323-341 (2001)
Coauthor Index
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