Yang Nan - RankMe

66 papers A* 1A 12B 16C 4Journal 15Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DPP-HSS: Toward Fast and Scalable Hypervolume Subset Selection for Many-Objective Optimization. IEEE Trans. Evol. Comput. Cheng Gong, Yang Nan, Ke Shang, Ping Guo, Hisao Ishibuchi, Qingfu Zhang
2025	—	`conf`	Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. EMO (1) Lie Meng Pang, Hisao Ishibuchi, Yang Nan
2025	J	`jnl`	Gradient-Guided Local Search for Large-Scale Hypervolume Subset Selection. IEEE Trans. Evol. Comput. Yang Nan, Tianye Shu, Hisao Ishibuchi, Ke Shang
2025	—	`conf`	Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary Algorithms. GECCO Companion Jinglin Wang, Hongyu Zhu, Yang Nan, Hisao Ishibuchi
2025	A	`conf`	Influence of Subpopulation on the Performance of Coevolutionary Algorithms for Constrained Multiobjective Optimization Problems. GECCO Yanyu Chen, Hisao Ishibuchi, Yang Nan
2025	B	`conf`	Investigation of Training-free Metrics for Multi-objective Neural Architecture Search. IJCNN Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang
2025	B	`conf`	Mutation Probability Specification in Large-Scale Evolutionary Multi-Objective Optimization Algorithms. SMC Yang Nan, Hisao Ishibuchi, Tianye Shu, Longcan Chen
2025	—	`conf`	Numerical Analysis of Pareto Set Modeling. EMO (2) Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2025	B	`conf`	On the Quality of Large Non-dominated Archives. CEC Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025	A	`conf`	Optimal Distributions of Solutions for Maximizing the Minimum Crowding Distance for Two-Objective and Three-Objective Linear Pareto Fronts: Search Behavior Analysis of NSGA-II. FOGA Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2025	—	`conf`	Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems. EMO (2) Yang Nan, Hisao Ishibuchi, Lie Meng Pang
2025	A	`conf`	R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators. GECCO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2025	B	`conf`	Shape of Feasible Regions of Real-World Multi-Objective Problems. CEC Yang Nan, Hisao Ishibuchi, Tianye Shu
2025	—	`conf`	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems. PRICAI (4) Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025	—	`conf`	Small Population Size is Enough in Many Cases with External Archives. EMO (2) Yang Nan, Hisao Ishibuchi, Lie Meng Pang
2024	A	`conf`	Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. GECCO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2024	B	`conf`	GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network. SMC Guotong Wu, Yang Nan, Ke Shang, Hisao Ishibuchi
2024	A	`conf`	Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. GECCO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2024	A	`conf`	Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	B	`conf`	Interactive Final Solution Selection in Multi-Objective Optimization. CEC Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	B	`conf`	Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. CEC Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2024	A*	`conf`	Learning Pareto Set for Multi-Objective Continuous Robot Control. IJCAI Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
2024	J	`jnl`	Learning Pareto Set for Multi-Objective Continuous Robot Control. CoRR Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
2024	B	`conf`	On the use of the Total Constraint Violation as an Additional Objective in Evolutionary Multi-Objective Optimization. SMC Yang Nan, Hisao Ishibuchi, Tianye Shu, Cheng Gong
2024	B	`conf`	Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. CEC Yang Nan, Hisao Ishibuchi, Tianye Shu
2024	A	`conf`	Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	—	`conf`	Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. PPSN (4) Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong
2023	J	`jnl`	An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. IEEE Trans. Evol. Comput. Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2023	—	`conf`	Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets. SSCI Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023	J	`jnl`	Benchmarking large-scale subset selection in evolutionary multi-objective optimization. Inf. Sci. Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2023	J	`jnl`	Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization. IEEE Trans. Evol. Comput. Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
2023	B	`conf`	Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. CEC Yang Nan, Tianye Shu, Hisao Ishibuchi
2023	A	`conf`	Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2023	B	`conf`	Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. SMC Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang
2023	—	`conf`	Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms. SSCI Jinyuan Zhang, Hisao Ishibuchi, Linjun He, Yang Nan
2023	A	`conf`	Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. GECCO Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
2023	J	`jnl`	Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. Swarm Evol. Comput. Linjun He, Auraham Camacho, Yang Nan, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan
2023	—	`conf`	Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. SSCI Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2023	—	`conf`	Ensemble R2-based Hypervolume Contribution Approximation. SSCI Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023	—	`conf`	Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2023	B	`conf`	How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. SMC Lie Meng Pang, Yang Nan, Hisao Ishibuchi
2023	—	`conf`	Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. SSCI Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2023	C	`conf`	Partially Degenerate Multi-objective Test Problems. EMO Lie Meng Pang, Yang Nan, Hisao Ishibuchi
2023	C	`conf`	Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. EMO Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2023	C	`conf`	Preference-Based Nonlinear Normalization for Multiobjective Optimization. EMO Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
2023	J	`jnl`	Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
2023	A	`conf`	Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. GECCO Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023	C	`conf`	Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. EMO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2023	B	`conf`	Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. SMC Yang Nan, Tianye Shu, Hisao Ishibuchi
2022	J	`jnl`	Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2022	—	`conf`	Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. PPSN (2) Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi
2022	J	`jnl`	Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization. CoRR Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
2022	J	`jnl`	Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions. IEEE Trans. Evol. Comput. Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
2021	J	`jnl`	A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Linjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan
2021	B	`conf`	A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. CEC Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2021	A	`conf`	Distance-based subset selection revisited. GECCO Ke Shang, Hisao Ishibuchi, Yang Nan
2021	J	`jnl`	Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions. CoRR Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
2021	B	`conf`	Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. SMC Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2021	B	`conf`	Reference Point Specification for Greedy Hypervolume Subset Selection. SMC Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan
2020	J	`jnl`	Reverse Strategy for Non-Dominated Archiving. IEEE Access Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2020	—	`conf`	Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants. SSCI Ke Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen
2020	A	`conf`	What is a good direction vector set for the R2-based hypervolume contribution approximation. GECCO Yang Nan, Ke Shang, Hisao Ishibuchi
2019	—	`conf`	A Study of the Naïve Objective Space Normalization Method in MOEA/D. SSCI Linjun He, Yang Nan, Ke Shang, Hisao Ishibuchi
2018	—	`conf`	A 0.5V 46.2ppm°C CMOS Voltage Reference Based on Compensated ΔVTH with Wide Temperature Range and High PSRR. NEWCAS Linjun He, Chenchang Zhan, Yang Nan, Ning Zhang, Lidan Wang, Guofeng Li
2018	J	`jnl`	A 0.6-V Minimum-Supply, 23.5 ppm/°C Subthreshold CMOS Voltage Reference With 0.45% Variation Coefficient. IEEE Trans. Circuits Syst. II Express Briefs Chenyu Huang, Chenchang Zhan, Linjun He, Lidan Wang, Yang Nan
2018	—	`conf`	Replica-Based Low Drop-Out Voltage Regulator with Assistant Power Transistors for Digital VLSI Systems. ISVLSI Yang Nan, Chenchang Zhan, Guanhua Wang, Linjun He, Han Li