暂无分享,去创建一个
[1] Tobias Friedrich,et al. An Efficient Algorithm for Computing Hypervolume Contributions , 2010, Evolutionary Computation.
[2] Hisao Ishibuchi,et al. Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front , 2018, IEEE Transactions on Evolutionary Computation.
[3] Hisao Ishibuchi,et al. How to compare many-objective algorithms under different settings of population and archive sizes , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[4] Silviu Maniu,et al. Hypervolume Subset Selection with Small Subsets , 2019, Evolutionary Computation.
[5] Hisao Ishibuchi,et al. Modified Distance Calculation in Generational Distance and Inverted Generational Distance , 2015, EMO.
[6] 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.
[7] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[8] Mike Preuss,et al. Measuring Multimodal Optimization Solution Sets with a View to Multiobjective Techniques , 2013 .
[9] Xin Yao,et al. An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods , 2019, EMO.
[10] Jonathan E. Fieldsend,et al. Using unconstrained elite archives for multiobjective optimization , 2003, IEEE Trans. Evol. Comput..
[11] Xin Yao,et al. Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization , 2015, IEEE Transactions on Evolutionary Computation.
[12] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[13] Hisao Ishibuchi,et al. A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive , 2020 .
[14] Tapabrata Ray,et al. Distance-Based Subset Selection for Benchmarking in Evolutionary Multi/Many-Objective Optimization , 2019, IEEE Transactions on Evolutionary Computation.
[15] Hisao Ishibuchi,et al. How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison , 2018, Evolutionary Computation.
[16] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[17] Carlos M. Fonseca,et al. Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms , 2016, Evolutionary Computation.
[18] Tea Tusar,et al. Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method , 2015, IEEE Transactions on Evolutionary Computation.
[19] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[20] Carlos M. Fonseca,et al. Greedy Hypervolume Subset Selection in Low Dimensions , 2016, Evolutionary Computation.
[21] R. K. Ursem. Multi-objective Optimization using Evolutionary Algorithms , 2009 .
[22] Hisao Ishibuchi,et al. Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios , 2017, IEEE Access.
[23] Karl Bringmann,et al. Two-dimensional subset selection for hypervolume and epsilon-indicator , 2014, GECCO.
[24] Xin Yao,et al. A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization , 2016, IEEE Transactions on Evolutionary Computation.
[25] Marco Laumanns,et al. Scalable multi-objective optimization test problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[26] Luís Paquete,et al. Implicit enumeration strategies for the hypervolume subset selection problem , 2018, Comput. Oper. Res..
[27] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.
[28] Lothar Thiele,et al. The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration , 2007, EMO.
[29] G. A. Miller. THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .
[30] Hisao Ishibuchi,et al. Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks , 2020, IEEE Access.
[31] Tobias Friedrich,et al. Generic Postprocessing via Subset Selection for Hypervolume and Epsilon-Indicator , 2014, PPSN.