Mariano Luque
Cited by
Cited by
A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm
AB Ruiz, R Saborido, M Luque
Journal of Global Optimization 62, 101-129, 2015
Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection
R Saborido, AB Ruiz, JD Bermúdez, E Vercher, M Luque
Applied soft computing 39, 48-63, 2016
Incorporating preference information in interactive reference point methods for multiobjective optimization
M Luque, K Miettinen, P Eskelinen, F Ruiz
Omega 37 (2), 450-462, 2009
NAUTILUS method: An interactive technique in multiobjective optimization based on the nadir point
K Miettinen, P Eskelinen, F Ruiz, M Luque
European Journal of Operational Research 206 (2), 426-434, 2010
Assessing global competitiveness under multi-criteria perspective
S Pérez-Moreno, B Rodríguez, M Luque
Economic Modelling 53, 398-408, 2016
An application of reference point techniques to the calculation of synthetic sustainability indicators
F Ruiz, JM Cabello, M Luque
Journal of the Operational Research Society 62 (1), 189-197, 2011
Global formulation for interactive multiobjective optimization
M Luque, F Ruiz, K Miettinen
Or Spectrum 33, 27-48, 2011
Global WASF-GA: An evolutionary algorithm in multiobjective optimization to approximate the whole Pareto optimal front
R Saborido, AB Ruiz, M Luque
Evolutionary computation 25 (2), 309-349, 2017
Optimization of the size of a solar thermal electricity plant by means of genetic algorithms
JM Cabello, JM Cejudo, M Luque, F Ruiz, K Deb, R Tewari
Renewable Energy 36 (11), 3146-3153, 2011
Using interactive multiobjective methods to solve DEA problems with value judgements
BYH Wong, M Luque, JB Yang
Computers & Operations Research 36 (2), 623-636, 2009
A classification of the weighting schemes in reference point procedures for multiobjective programming
F Ruiz, M Luque, JM Cabello
Journal of the Operational Research Society 60 (4), 544-553, 2009
PROMOIN: an interactive system for multiobjective programming
R Caballero, M Luque, J Molina, F Ruiz
International Journal of Information Technology & Decision Making 1 (04 …, 2002
Modified interactive Chebyshev algorithm (MICA) for convex multiobjective programming
M Luque, F Ruiz, RE Steuer
European Journal of Operational Research 204 (3), 557-564, 2010
Measuring human development: a multi-criteria approach
M Luque, S Pérez-Moreno, B Rodríguez
Social Indicators Research 125, 713-733, 2016
An interactive evolutionary multiobjective optimization method: Interactive WASF-GA
AB Ruiz, M Luque, K Miettinen, R Saborido
Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015
InDM2: Interactive dynamic multi-objective decision making using evolutionary algorithms
AJ Nebro, AB Ruiz, C Barba-González, J García-Nieto, M Luque, ...
Swarm and Evolutionary Computation 40, 184-195, 2018
E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method
AB Ruiz, K Sindhya, K Miettinen, F Ruiz, M Luque
European Journal of Operational Research 246 (1), 218-231, 2015
Improving the computational efficiency in a global formulation (GLIDE) for interactive multiobjective optimization
F Ruiz, M Luque, K Miettinen
Annals of Operations Research 197, 47-70, 2012
Equivalent information for multiobjective interactive procedures
M Luque, R Caballero, J Molina, F Ruiz
Management Science 53 (1), 125-134, 2007
An additive achievement scalarizing function for multiobjective programming problems
F Ruiz, M Luque, F Miguel, M del Mar Muñoz
European Journal of Operational Research 188 (3), 683-694, 2008
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