Yang Nan

According to our database, Yang Nan authored at least 38 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Improved Local Search Method for Large-Scale Hypervolume Subset Selection.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

IEEE Trans. Evol. Comput., December, 2023

Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms.

Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan

IEEE Trans. Evol. Comput., October, 2023

Benchmarking large-scale subset selection in evolutionary multi-objective optimization.

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

Inf. Sci., April, 2023

Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization.

Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan

IEEE Trans. Evol. Comput., 2023

Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms.

Linjun He, Auraham Camacho, Yang Nan, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan

Swarm Evol. Comput., 2023

Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms.

Jinyuan Zhang, Hisao Ishibuchi, Linjun He, Yang Nan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Ensemble R2-based Hypervolume Contribution Approximation.

Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets.

Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.

Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search.

Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization.

Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization.

Lie Meng Pang, Yang Nan, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms.

Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem.

Yang Nan, Tianye Shu, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets.

Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems.

Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization.

Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Partially Degenerate Multi-objective Test Problems.

Lie Meng Pang, Yang Nan, Hisao Ishibuchi

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems.

Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems.

Hisao Ishibuchi, Yang Nan, Lie Meng Pang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Preference-Based Nonlinear Normalization for Multiobjective Optimization.

Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems.

Yang Nan, Tianye Shu, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions.

Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao

IEEE Trans. Evol. Comput., 2022

Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization.

Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan

CoRR, 2022

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

CoRR, 2022

Direction Vector Selection for R2-Based Hypervolume Contribution Approximation.

Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

2021

A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms.

Linjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan

IEEE Trans. Evol. Comput., 2021

Reference Point Specification for Greedy Hypervolume Subset Selection.

Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Distance-based subset selection revisited.

Ke Shang, Hisao Ishibuchi, Yang Nan

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Reverse Strategy for Non-Dominated Archiving.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

IEEE Access, 2020

Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants.

Ke Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

What is a good direction vector set for the R2-based hypervolume contribution approximation.

Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

A Study of the Naïve Objective Space Normalization Method in MOEA/D.

Linjun He, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

A 0.6-V Minimum-Supply, 23.5 ppm/°C Subthreshold CMOS Voltage Reference With 0.45% Variation Coefficient.

Chenyu Huang, Chenchang Zhan, Linjun He, Lidan Wang, Yang Nan

IEEE Trans. Circuits Syst. II Express Briefs, 2018

A 0.5V 46.2ppm°C CMOS Voltage Reference Based on Compensated ΔVTH with Wide Temperature Range and High PSRR.

Linjun He, Chenchang Zhan, Yang Nan, Ning Zhang, Lidan Wang, Guofeng Li

Proceedings of the 16th IEEE International New Circuits and Systems Conference, 2018

Replica-Based Low Drop-Out Voltage Regulator with Assistant Power Transistors for Digital VLSI Systems.

Yang Nan, Chenchang Zhan, Guanhua Wang, Linjun He, Han Li

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018