Aggregate meta-models for evolutionary multiobjective and many-objective optimization
暂无分享,去创建一个
[1] J. D. Schaffer,et al. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms , 1985, ICGA.
[2] Kalyanmoy Deb,et al. Simulated Binary Crossover for Continuous Search Space , 1995, Complex Syst..
[3] Kalyanmoy Deb,et al. A combined genetic adaptive search (GeneAS) for engineering design , 1996 .
[4] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[5] A. Ratle. Optimal sampling strategies for learning a fitness model , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[6] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[7] Kalyanmoy Deb,et al. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.
[8] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[9] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[10] Bernhard Sendhoff,et al. A framework for evolutionary optimization with approximate fitness functions , 2002, IEEE Trans. Evol. Comput..
[11] Andreas Zell,et al. Evolution strategies assisted by Gaussian processes with improved preselection criterion , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[12] Z. K. Zhang,et al. Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[13] Eckart Zitzler,et al. Indicator-Based Selection in Multiobjective Search , 2004, PPSN.
[14] Liang Shi,et al. Multiobjective GA optimization using reduced models , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[15] Kang Li,et al. A Sequential Niching Technique for Particle Swarm Optimization , 2005, ICIC.
[16] Andreas Zell,et al. Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms , 2005, EMO.
[17] Evan J. Hughes,et al. Evolutionary many-objective optimisation: many once or one many? , 2005, 2005 IEEE Congress on Evolutionary Computation.
[18] C. Coello,et al. Multi-Objective Particle Swarm Optimizers : A Survey of the State-ofthe-Art , 2006 .
[19] Thorsten Joachims,et al. A support vector method for multivariate performance measures , 2005, ICML.
[20] M Reyes Sierra,et al. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art , 2006 .
[21] Michael T. M. Emmerich,et al. Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels , 2006, IEEE Transactions on Evolutionary Computation.
[22] Michael R. Lyu,et al. A novel adaptive sequential niche technique for multimodal function optimization , 2006, Neurocomputing.
[23] Joshua D. Knowles,et al. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems , 2006, IEEE Transactions on Evolutionary Computation.
[24] Tapabrata Ray,et al. An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization , 2007, ACAL.
[25] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[26] De-Shuang Huang,et al. Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[27] Carlos A. Coello Coello,et al. MRMOGA: a new parallel multi‐objective evolutionary algorithm based on the use of multiple resolutions , 2007, Concurr. Comput. Pract. Exp..
[28] Hisao Ishibuchi,et al. Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[29] Kyriakos C. Giannakoglou,et al. Multiobjective Metamodel–Assisted Memetic Algorithms , 2009 .
[30] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[31] Rajkumar Buyya,et al. The Pareto-Following Variation Operator as an alternative approximation model , 2009, 2009 IEEE Congress on Evolutionary Computation.
[32] Anne Auger,et al. Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point , 2009, FOGA '09.
[33] Michèle Sebag,et al. Dominance-Based Pareto-Surrogate for Multi-Objective Optimization , 2010, SEAL.
[34] Bernhard Sendhoff,et al. Generalizing Surrogate-Assisted Evolutionary Computation , 2010, IEEE Transactions on Evolutionary Computation.
[35] Tobias Friedrich,et al. Approximating the volume of unions and intersections of high-dimensional geometric objects , 2008, Comput. Geom..
[36] Martin Holena,et al. Neural Networks as Surrogate Models for Measurements in Optimization Algorithms , 2010, ASMTA.
[37] Andy J. Keane,et al. Multi-Objective Optimization Using Surrogates , 2010 .
[38] Roman Neruda,et al. Combining multiobjective and single-objective genetic algorithms in heterogeneous island model , 2010, IEEE Congress on Evolutionary Computation.
[39] Michèle Sebag,et al. A mono surrogate for multiobjective optimization , 2010, GECCO '10.
[40] Qingfu Zhang,et al. Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model , 2010, IEEE Transactions on Evolutionary Computation.
[41] Eckart Zitzler,et al. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.
[42] Yew-Soon Ong,et al. A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[43] Roman Neruda,et al. ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).