Linjun He

According to our database, Linjun He authored at least 28 papers between 2018 and 2024.

Collaborative distances:

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

2024

Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization.

Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen

IEEE Trans. Evol. Comput., August, 2024

Research on the legal system of economic-ecological synergistic compensation in carbon neutral marine cities with a background in big data.

Tingting Hao, Yuyan Ye, Peng Huang, Linjun He

Big Data Res., 2024

2023

Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization.

Jinyuan Zhang, Linjun He, Hisao Ishibuchi

IEEE Trans. Evol. Comput., December, 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

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

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

An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets.

Jinyuan Zhang, Linjun He, Hisao Ishibuchi

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

2022

A classification-assisted environmental selection strategy for multiobjective optimization.

Jinyuan Zhang, Hisao Ishibuchi, Linjun He

Swarm Evol. Comput., 2022

2021

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization.

Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang

IEEE Trans. Evol. Comput., 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

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

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.

Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng

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

Metric for evaluating normalization methods in multiobjective optimization.

Linjun He, Hisao Ishibuchi, Dipti Srinivasan

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

Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms.

Linjun He, Ke Shang, Hisao Ishibuchi

Appl. Soft Comput., 2020

Reverse Strategy for Non-Dominated Archiving.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

IEEE Access, 2020

Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms.

Linjun He, Auraham Camacho, Hisao Ishibuchi

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

Dynamic Normalization in MOEA/D for Multiobjective optimization.

Linjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan

Proceedings of the IEEE Congress on Evolutionary Computation, 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

Regular Pareto Front Shape is not Realistic.

Hisao Ishibuchi, Linjun He, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 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 Wide-Load-Range Mixed-Mode LDO Regulator with Single-Transistor-Assisted Buffer.

Ning Zhang, Chenchang Zhan, Han Li, Linjun He

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

A Low-Power High-PSRR CMOS Voltage Reference with Active-Feedback Frequency Compensation for IoT Applications.

Lidan Wang, Chenchang Zhan, Linjun He, Junyao Tang, Guanhua Wang, Yang Liu, Guofeng Li

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018