A survey on multi-objective evolutionary algorithms for many-objective problems
暂无分享,去创建一个
[1] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[2] Peter J. Fleming,et al. On the Evolutionary Optimization of Many Conflicting Objectives , 2007, IEEE Transactions on Evolutionary Computation.
[3] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[4] Peter J. Bentley,et al. Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms , 1998 .
[5] José Carlos Príncipe,et al. Nonlinear Component Analysis Based on Correntropy , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[6] Qingfu Zhang,et al. Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms , 2013, IEEE Transactions on Evolutionary Computation.
[7] Kiyoshi Tanaka,et al. Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization , 2011, EMO.
[8] Eckart Zitzler,et al. Indicator-Based Selection in Multiobjective Search , 2004, PPSN.
[9] E. Hughes. Multiple single objective Pareto sampling , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[10] Martin J. Oates,et al. PESA-II: region-based selection in evolutionary multiobjective optimization , 2001 .
[11] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[12] Eckart Zitzler,et al. Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization , 2006, PPSN.
[13] Jinhua Zheng,et al. A grid-based fitness strategy for evolutionary many-objective optimization , 2010, GECCO '10.
[14] Gary B. Lamont,et al. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .
[15] Evan J. Hughes,et al. Evolutionary many-objective optimisation: many once or one many? , 2005, 2005 IEEE Congress on Evolutionary Computation.
[16] Kalyanmoy Deb,et al. Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions , 2003, EMO.
[17] Mario Köppen,et al. Fuzzy-Pareto-Dominance and its Application in Evolutionary Multi-objective Optimization , 2005, EMO.
[18] Kalyanmoy Deb,et al. Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding , 2007, EMO.
[19] Shuangzhe Liu,et al. Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola , 2008 .
[20] Mitsuo Gen,et al. Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms , 2001, EMO.
[21] Saltelli Andrea,et al. Global Sensitivity Analysis: The Primer , 2008 .
[22] Peter J. Fleming,et al. An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.
[23] Daisuke Sasaki,et al. Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map , 2003, EMO.
[24] Maarten Keijzer,et al. Scientific discovery using genetic programming , 2001 .
[25] Peter J. Fleming,et al. Many-Objective Optimization: An Engineering Design Perspective , 2005, EMO.
[26] David W. Corne,et al. Techniques for highly multiobjective optimisation: some nondominated points are better than others , 2007, GECCO '07.
[27] Tadahiko Murata,et al. Many-Objective Optimization for Knapsack Problems Using Correlation-Based Weighted Sum Approach , 2009, EMO.
[28] Hisao Ishibuchi,et al. A multi-objective genetic local search algorithm and its application to flowshop scheduling , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[29] Patrick M. Reed,et al. Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization , 2012, Evolutionary Computation.
[30] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[31] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[32] Jouni Lampinen,et al. Ranking-Dominance and Many-Objective Optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[33] Hisao Ishibuchi,et al. Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D , 2011, EMO.
[34] Eckart Zitzler,et al. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.
[35] Carlos A. Coello Coello,et al. Online Objective Reduction to Deal with Many-Objective Problems , 2009, EMO.
[36] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[37] Mario Köppen,et al. Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems , 2007, EMO.
[38] Hisao Ishibuchi,et al. Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[39] C. A. Murthy,et al. Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[41] Olivier Teytaud,et al. On the Hardness of Offline Multi-objective Optimization , 2007, Evolutionary Computation.
[42] Qingfu Zhang,et al. The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances , 2009, 2009 IEEE Congress on Evolutionary Computation.
[43] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[44] Rolf Drechsler,et al. Multi-objected Optimization in Evolutionary Algorithms Using Satisfiability Classes , 1999, Fuzzy Days.
[45] Qingfu Zhang,et al. Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes , 2011, EMO.
[46] Nicola Beume,et al. Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces , 2005, 2005 IEEE Congress on Evolutionary Computation.
[47] Thomas Bäck,et al. Evolutionary algorithms for automated drug design towards target molecule properties , 2008, GECCO '08.
[48] Carlos A. Coello Coello,et al. On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem , 2011, IEEE Transactions on Evolutionary Computation.
[49] Martin J. Oates,et al. The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation , 2000, PPSN.
[50] Soon-Thiam Khu,et al. An Investigation on Preference Order Ranking Scheme for Multiobjective Evolutionary Optimization , 2007, IEEE Transactions on Evolutionary Computation.
[51] J. Branke,et al. Guidance in evolutionary multi-objective optimization , 2001 .
[52] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[53] Peter J. Fleming,et al. Evolutionary many-objective optimisation: an exploratory analysis , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[54] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[55] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[56] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) , 2006 .
[57] Carlos A. Coello Coello,et al. Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored , 2009, Frontiers of Computer Science in China.
[58] Jonathan E. Fieldsend,et al. Visualising many-objective populations , 2012, GECCO '12.
[59] Peter J. Fleming,et al. Preference-Driven Co-evolutionary Algorithms Show Promise for Many-Objective Optimisation , 2011, EMO.
[60] Marco Laumanns,et al. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.
[61] Nicola Beume,et al. An EMO Algorithm Using the Hypervolume Measure as Selection Criterion , 2005, EMO.
[62] Kaisa Miettinen. Graphical Illustration of Pareto Optimal Solutions , 2003 .
[63] Kiyoshi Tanaka,et al. Robust Optimization by epsilon-Ranking on High Dimensional Objective Spaces , 2008, SEAL.
[64] Rolf Drechsler,et al. Robust Multi-Objective Optimization in High Dimensional Spaces , 2007, EMO.
[65] Marco Laumanns,et al. Scalable multi-objective optimization test problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[66] Francesco di Pierro,et al. Many-objective evolutionary algorithms and applications to water resources engineering , 2006 .
[67] Sanaz Mostaghim,et al. Heatmap Visualization of Population Based Multi Objective Algorithms , 2007, EMO.
[68] Patrick M. Reed,et al. Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design , 2005 .
[69] M. Farina,et al. On the optimal solution definition for many-criteria optimization problems , 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).
[70] Kiyoshi Tanaka,et al. Insights on properties of multiobjective MNK-landscapes , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[71] Xin Yao,et al. Performance Scaling of Multi-objective Evolutionary Algorithms , 2003, EMO.
[72] Alfred Inselberg,et al. Parallel coordinates for visualizing multi-dimensional geometry , 1987 .
[73] E. D. Weinberger,et al. The NK model of rugged fitness landscapes and its application to maturation of the immune response. , 1989, Journal of theoretical biology.
[74] Thomas Bäck,et al. Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design , 2009, EMO.
[75] Kiyoshi Tanaka,et al. Many-Objective Optimization by Space Partitioning and Adaptive epsilon-Ranking on MNK-Landscapes , 2009, EMO.
[76] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[77] Kalyanmoy Deb,et al. Faster Hypervolume-Based Search Using Monte Carlo Sampling , 2008, MCDM.
[78] Frank Neumann,et al. Do additional objectives make a problem harder? , 2007, GECCO '07.
[79] Patrick M. Reed,et al. Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework , 2013, Evolutionary Computation.
[80] Peter J. Fleming,et al. A Diversity Management Operator for Evolutionary Many-Objective Optimisation , 2009, EMO.
[81] Gary L. Haith,et al. Comparing a coevolutionary genetic algorithm for multiobjective optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[82] Eckart Zitzler,et al. A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization , 2006, EvoWorkshops.
[83] Carlos A. Coello Coello,et al. Objective reduction using a feature selection technique , 2008, GECCO '08.
[84] Hisao Ishibuchi,et al. Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[85] Kiyoshi Tanaka,et al. Effects of elitism and population climbing on multiobjective MNK-landscapes , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[86] Eckart Zitzler,et al. Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods , 2007, 2007 IEEE Congress on Evolutionary Computation.
[87] Kalyanmoy Deb,et al. On Handling a Large Number of Objectives A Posteriori and During Optimization , 2008, Multiobjective Problem Solving from Nature.
[88] H. T. Kung,et al. On the Average Number of Maxima in a Set of Vectors and Applications , 1978, JACM.
[89] Kiyoshi Tanaka,et al. Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems , 2012, Annals of Mathematics and Artificial Intelligence.
[90] Peter J. Fleming,et al. Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation , 2003, EMO.
[91] Kiyoshi Tanaka,et al. Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs , 2007, EMO.
[92] Rolf Drechsler,et al. Multi-objective Optimisation Based on Relation Favour , 2001, EMO.
[93] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[94] Kiyoshi Tanaka,et al. Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization , 2010, IEEE Congress on Evolutionary Computation.
[95] Masahiro Tanaka,et al. GA-based decision support system for multicriteria optimization , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[96] Andrzej Jaszkiewicz,et al. On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - a comparative experiment , 2002, IEEE Trans. Evol. Comput..
[97] Evan J. Hughes,et al. MSOPS-II: A general-purpose Many-Objective optimiser , 2007, 2007 IEEE Congress on Evolutionary Computation.
[98] Hisao Ishibuchi,et al. Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization , 2007, EMO.
[99] Jouni Lampinen,et al. GDE3: the third evolution step of generalized differential evolution , 2005, 2005 IEEE Congress on Evolutionary Computation.
[100] Kilian Q. Weinberger,et al. Unsupervised Learning of Image Manifolds by Semidefinite Programming , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[101] Hisao Ishibuchi,et al. Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm , 2009, EMO.
[102] Carlos A. Coello Coello,et al. Study of preference relations in many-objective optimization , 2009, GECCO.
[103] Hisao Ishibuchi,et al. Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems , 2008, GECCO '08.
[104] Carlos A. Coello Coello,et al. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance , 2005, EMO.
[105] Jürgen Branke,et al. Multi-objective particle swarm optimization on computer grids , 2007, GECCO '07.
[106] Evan J. Hughes. Multi-Objective Equivalent Random Search , 2006, PPSN.
[107] Lishan Kang,et al. A New Evolutionary Algorithm for Solving Many-Objective Optimization Problems , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[108] Mario Köppen,et al. Visualization of Pareto-Sets in Evolutionary Multi-Objective Optimization , 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).
[109] Nicola Beume,et al. Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization , 2007, EMO.
[110] Kiyoshi Tanaka,et al. Improved Random One-Bit Climbers with Adaptive ε-Ranking and Tabu Moves for Many-Objective Optimization , 2011, EMO.
[111] Gary G. Yen,et al. A new fitness evaluation method based on fuzzy logic in multiobjective evolutionary algorithms , 2012, 2012 IEEE Congress on Evolutionary Computation.
[112] David W. Corne,et al. Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization , 2007, EMO.