Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
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Jesús García | José M. Molina López | Luis Martí | Antonio Berlanga | Jesús García | J. M. Molina | A. Berlanga | Luis Martí
[1] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[2] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[3] Thomas Martinetz,et al. 'Neural-gas' network for vector quantization and its application to time-series prediction , 1993, IEEE Trans. Neural Networks.
[4] Qingfu Zhang,et al. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 RM-MEDA: A Regularity Model-Based Multiobjective Estimation of , 2022 .
[5] Dirk Thierens,et al. The Naive MIDEA: A Baseline Multi-objective EA , 2005, EMO.
[6] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[7] R. K. Ursem. Multi-objective Optimization using Evolutionary Algorithms , 2009 .
[8] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[9] Chang Wook Ahn,et al. Advances in Evolutionary Algorithms: Theory, Design and Practice , 2006, Studies in Computational Intelligence.
[10] Marco Laumanns,et al. PISA: A Platform and Programming Language Independent Interface for Search Algorithms , 2003, EMO.
[11] Jesús García,et al. A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms , 2007, GECCO '07.
[12] Peter A. N. Bosman,et al. Design and Application of iterated Density-Estimation Evolutionary Algorithms , 2003 .
[13] Lothar Thiele,et al. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers , 2006 .
[14] Eros Pasero,et al. An Hybrid Neural/Genetic Approach to Continuous Multi-objective Optimization Problems , 2003, WIRN.
[15] Witold Kosiński,et al. Advances in Evolutionary Algorithms , 2008 .
[16] Peter J. Fleming,et al. On the Evolutionary Optimization of Many Conflicting Objectives , 2007, IEEE Transactions on Evolutionary Computation.
[17] Jesús García,et al. Model-building algorithms for multiobjective EDAs: Directions for improvement , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[18] Xin Yao,et al. Performance Scaling of Multi-objective Evolutionary Algorithms , 2003, EMO.
[19] T. Martínez,et al. Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps , 1993 .
[20] David E. Goldberg,et al. Multiobjective Estimation of Distribution Algorithms , 2006, Scalable Optimization via Probabilistic Modeling.
[21] R. Kruse,et al. An extension to possibilistic fuzzy cluster analysis , 2004, Fuzzy Sets Syst..
[22] P. N. Suganthan,et al. Robust growing neural gas algorithm with application in cluster analysis , 2004, Neural Networks.
[23] Bernd Fritzke,et al. A Growing Neural Gas Network Learns Topologies , 1994, NIPS.