Jun He

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 54

Top Venues

CoRR

CEC

IEEE Trans. Evol. Comput.

Swarm Evol. Comput.

Publications

Tao Xu, Hongyang Chen, Jun He
Accelerate Evolution Strategy by Proximal Policy Optimization. GECCO (2024)
Jun He, Siang Yew Chong, Xin Yao
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels. CoRR (2023)
Jun He, Yuren Zhou
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms. CoRR (2023)
Teena Rai, Yuan Shen, Jaspreet Kaur, Jun He, Mufti Mahmud, David J. Brown, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data. AIME (2023)
Azizkhon Afzalov, Ahmad Lotfi, Jun He
Coupled Assignment Strategy of Agents in Many Targets Environment. ICAART (1) (2023)
Tao Xu, Jun He, Changjing Shang
Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization. IEEE Trans. Cybern. 52 (1) (2022)
Abeer Alzubaidi, Jaspreet Kaur, Mufti Mahmud, David J. Brown, Jun He, Graham R. Ball, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends. AII (2021)
Cong Wang, Yu Chen, Jun He, Chengwang Xie
Error analysis of elitist randomized search heuristics. Swarm Evol. Comput. 63 (2021)
Yu Chen, Jun He
Average convergence rate of evolutionary algorithms in continuous optimization. Inf. Sci. 562 (2021)
Cong Wang, Yu Chen, Jun He, Xiufen Zou
Influence of the Binomial Crossover on Performance of Randomized Search Heuristics. CoRR (2021)
Azizkhon Afzalov, Jun He, Ahmad Lotfi, Mehmet Emin Aydin
Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets. KES-AMSTA (2021)
Abdallah Naser, Ahmad Lotfi, Junpei Zhong, Jun He
Heat-Map Based Occupancy Estimation Using Adaptive Boosting. FUZZ-IEEE (2020)
Abdallah Naser, Ahmad Lotfi, Junpei Zhong, Jun He
Human activity of daily living recognition in presence of an animal pet using thermal sensor array. PETRA (2020)
Yu Chen, Jun He
Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study. CoRR (2020)
Jun Zhang, Jun He, Jiachuan Long, Min Yao, Wei Zhou
A New Denoising Method for UHF PD Signals Using Adaptive VMD and SSA-Based Shrinkage Method. Sensors 19 (7) (2019)
Jinwei Pang, Jun He, Hongbin Dong
Hybrid evolutionary programming using adaptive Lévy mutation and modified Nelder-Mead method. Soft Comput. 23 (17) (2019)
Cong Wang, Yu Chen, Jun He, Chengwang Xie
Estimating Approximation Errors of Elitist Evolutionary Algorithms. CoRR (2019)
Cong Wang, Yu Chen, Jun He, Chengwang Xie
Estimating Approximation Errors of Elitist Evolutionary Algorithms. BIC-TA (1) (2019)
Tao Xu, Jun He, Changjing Shang
Helper and equivalent objective different evolution for constrained optimisation. GECCO (Companion) (2019)
Yuren Zhou, Yi Xiang, Zefeng Chen, Jun He, Jiahai Wang
A Scalar Projection and Angle-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Cybern. 49 (6) (2019)
Jun He, Thomas Jansen, Christine Zarges
Unlimited Budget Analysis of Randomised Search Heuristics. CoRR (2019)
Siang Yew Chong, Peter Tiño, Jun He, Xin Yao
A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks. Evol. Comput. 27 (2) (2019)
Rui Ding, Hongbin Dong, Jun He, Tao Li
A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points. Appl. Soft Comput. 78 (2019)
Wei Huang, Tao Xu, Kangshun Li, Jun He
Multiobjective differential evolution enhanced with principle component analysis for constrained optimization. Swarm Evol. Comput. 50 (2019)
Tao Xu, Jun He
A Multi-population Helper and Equivalent Objective Differential Evolution Algorithm. SSCI (2019)
Siang Yew Chong, Peter Tiño, Jun He
Coevolutionary systems and PageRank. Artif. Intell. 277 (2019)
Jun He, Thomas Jansen, Christine Zarges
Unlimited budget analysis. GECCO (Companion) (2019)
Yu Chen, Jun He
Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization. CoRR (2018)
Wei Huang, Tao Xu, Jun He, Kangshun Li
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization. CoRR (2018)
Jun He, Tao Xu
New Methods of Studying Valley Fitness Landscapes. CoRR (2018)
Rui Ding, Hongbin Dong, Jun He, Xianbin Feng, Xiaodong Yu, Lijie Li
U-NSGA-III: An Improved Evolutionary Many-Objective Optimization Algorithm. BIC-TA (1) (2018)
Jun He, Yu Chen, Yuren Zhou
A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms. CoRR (2018)
Xiaohui Li, Hongbin Dong, Yang Zhou, Jun He
A Matching Approach to Factor Scores Based on Online Sponsored Search Auction. Int. J. Softw. Innov. 6 (1) (2018)
Kangshun Li, Yan Chen, Wei Li, Jun He, Yu Xue
Improved gene expression programming to solve the inverse problem for ordinary differential equations. Swarm Evol. Comput. 38 (2018)
Jun He, Xin Yao
Average Drift Analysis and Population Scalability. IEEE Trans. Evol. Comput. 21 (3) (2017)
Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges
On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation. Algorithmica 78 (2) (2017)
Jun He, Yuren Zhou, Guangming Li
An initial error analysis for evolutionary algorithms. GECCO (Companion) (2017)
Xiaohui Li, Yang Zhou, Hongbin Dong, Jun He
Online sponsored search auction matching problem with advertiser credibility. ICIS (2017)
Wenjie Liu, Hongbin Dong, Jun He, Hongbo Shi
A cooperative quantum particle swarm optimization based on multiple groups. SMC (2017)
Rui Ding, Hongbin Dong, Jun He, Yuxin Dong
An improved partheno-genetic algorithm for the multi-constrained problem of curling match arrangement. CEC (2016)
Kangshun Li, Yan Chen, Jun He
The Research of Solving Inverse Problems of Complex Differential Equations. BIC-TA (2) (2016)
Tao Xu, Jun He, Changjing Shang, Weiqin Ying
A New Multi-objective Model for Constrained Optimisation. UKCI (2016)
Jinwei Pang, Hongbin Dong, Jun He, Qi Feng
Mixed mutation strategy evolutionary programming based on Shapley value. CEC (2016)
Weichao Chai, Hongbin Dong, Jun He, Wenqian Shang
A biogeography-based optimization algorithm with multiple migrations. ICIS (2016)
Jun He, Guangming Lin
Average Convergence Rate of Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20 (2) (2016)
Jun He
An analytic expression of relative approximation error for a class of evolutionary algorithms. CEC (2016)
Jun He, Yong Wang, Yuren Zhou
Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem. CoRR (2015)
Jun He, Tianshi Chen, Xin Yao
On the Easiest and Hardest Fitness Functions. IEEE Trans. Evol. Comput. 19 (2) (2015)
Jun He, Tao Xu
Multi-objective Differential Evolution with Helper Functions for Constrained Optimization. CoRR (2015)
Tobias Friedrich, Jun He, Thomas Jansen, Alberto Moraglio
Genetic and Evolutionary Computation. Theor. Comput. Sci. 561 (2015)
Jun He, Guangming Lin
Average Convergence Rate of Evolutionary Algorithms. CoRR (2015)
Hongbin Dong, Xuyang Teng, Yang Zhou, Jun He
Feature subset selection using dynamic mixed strategy. CEC (2015)
Jun He, Yong Wang, Yuren Zhou
Analysis of Solution Quality of a Multiobjective Optimization-Based Evolutionary Algorithm for Knapsack Problem. EvoCOP (2015)
Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges
On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations. GECCO (2015)
Jun He, Feidun He, Hongbin Dong
A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem. CoRR (2014)
Xinsheng Lai, Yuren Zhou, Jun He, Jun Zhang
Performance Analysis on Evolutionary Algorithms for the Minimum Label Spanning Tree Problem. CoRR (2014)
Xinsheng Lai, Yuren Zhou, Jun He, Jun Zhang
Performance Analysis of Evolutionary Algorithms for the Minimum Label Spanning Tree Problem. IEEE Trans. Evol. Comput. 18 (6) (2014)
Jun He, Boris Mitavskiy, Yuren Zhou
A Theoretical Assessment of Solution Quality in Evolutionary Algorithms for the Knapsack Problem. CoRR (2014)
Jun He, Boris Mitavskiy, Yuren Zhou
A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem. IEEE Congress on Evolutionary Computation (2014)
Jun He, Feidun He, Xin Yao
A Unified Markov Chain Approach to Analysing Randomised Search Heuristics. CoRR (2013)
Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning. Nat. Comput. 12 (4) (2013)
Boris Mitavskiy, Jun He
A further generalization of the finite-population geiringer-like theorem for pomdps to allow recombination overarbitrary set covers. FOGA (2013)
Jun He, Wei Hou, Hongbin Dong, Feidun He
Mixed Strategy May Outperform Pure Strategy CoRR (2013)
Boris Mitavskiy, Jun He
Combining Drift Analysis and Generalized Schema Theory to Design Efficient Hybrid and/or Mixed Strategy EAs CoRR (2013)
Jun He, Wei Hou, Hongbin Dong, Feidun He
Mixed strategy may outperform pure strategy: An initial study. IEEE Congress on Evolutionary Computation (2013)
Jun He, Xin Yao
Average Drift Analysis and Population Scalability. CoRR (2013)
Boris Mitavskiy, Jun He
Combining drift analysis and generalized schema theory to design efficient hybrid and/or mixed strategy EAs. IEEE Congress on Evolutionary Computation (2013)
Boris Mitavskiy, Jun He
A Further Generalization of the Finite-Population Geiringer-like Theorem for POMDPs to Allow Recombination Over Arbitrary Set Covers. CoRR (2013)
Boris Mitavskiy, Jun He
Design and Analysis of an Estimation of Distribution Approximation Algorithm for Single Machine Scheduling in Uncertain Environments. CoRR (2013)
Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
Geiringer Theorems: From Population Genetics to Computational Intelligence, Memory Evolutive Systems and Hebbian Learning CoRR (2013)
Boris Mitavskiy, Jun He
A polynomial time approximation scheme for a single machine scheduling problem using a hybrid evolutionary algorithm. IEEE Congress on Evolutionary Computation (2012)
Boris Mitavskiy, Jun He
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm CoRR (2012)
Jun He, Feidun He, Hongbin Dong
Pure Strategy or Mixed Strategy? - An Initial Comparison of Their Asymptotic Convergence Rate and Asymptotic Hitting Time. EvoCOP (2012)
Simon T. Powers, Jun He
A hybrid artificial immune system and Self Organising Map for network intrusion detection CoRR (2012)
Xin Zhang, Hongbin Dong, Xue Yang, Jun He
A Mixed Strategy Multi-Objective Coevolutionary Algorithm Based on Single-Point Mutation and Particle Swarm Optimization. RSKT (2012)
Yu Chen, Xiufen Zou, Jun He
Drift conditions for estimating the first hitting times of evolutionary algorithms. Int. J. Comput. Math. 88 (1) (2011)
Jun He, Feidun He, Hongbin Dong
Pure Strategy or Mixed Strategy? CoRR (2011)
Liang Shen, Jun He
A mixed strategy for Evolutionary Programming based on local fitness landscape. IEEE Congress on Evolutionary Computation (2010)
Tianshi Chen, Jun He, Guoliang Chen, Xin Yao
Choosing selection pressure for wide-gap problems. Theor. Comput. Sci. 411 (6) (2010)
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models. Evol. Comput. 18 (4) (2010)
Jun He
A note on the first hitting time of (1 + lambda) evolutionary algorithm for linear functions with boolean inputs. IEEE Congress on Evolutionary Computation (2010)
Jun He, Lishan Kang
A mixed strategy of combining evolutionary algorithms with multigrid methods. Int. J. Comput. Math. 86 (5) (2009)
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
Analyses of Simple Hybrid Algorithms for the Vertex Cover Problem. Evol. Comput. 17 (1) (2009)
Tianshi Chen, Jun He, Guangzhong Sun, Guoliang Chen, Xin Yao
A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems. IEEE Trans. Syst. Man Cybern. Part B 39 (5) (2009)
Yuren Zhou, Jun He, Qing Nie
A comparative runtime analysis of heuristic algorithms for satisfiability problems. Artif. Intell. 173 (2) (2009)
Pietro S. Oliveto, Jun He, Xin Yao
Analysis of the (1+1) -EA for Finding Approximate Solutions to Vertex Cover Problems. IEEE Trans. Evol. Comput. 13 (5) (2009)
Jun He, Yuren Zhou, Xin Yao
A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem. Theory of Evolutionary Algorithms (2008)
Pietro S. Oliveto, Jun He, Xin Yao
Analysis of population-based evolutionary algorithms for the vertex cover problem. IEEE Congress on Evolutionary Computation (2008)
Simon T. Powers, Jun He
A hybrid artificial immune system and Self Organising Map for network intrusion detection. Inf. Sci. 178 (15) (2008)
Jun He, Colin R. Reeves, Carsten Witt, Xin Yao
A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability. Evol. Comput. 15 (4) (2007)
Jun He, Yuren Zhou
A comparison of GAs using penalizing infeasible solutions and repairing infeasible solutions on restrictive capacity knapsack problem. GECCO (2007)
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
On improving approximate solutions by evolutionary algorithms. IEEE Congress on Evolutionary Computation (2007)
Yuren Zhou, Jun He
A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems. IEEE Trans. Evol. Comput. 11 (5) (2007)
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann, Jun He, Carsten Witt
Approximating covering problems by randomized search heuristics using multi-objective models. GECCO (2007)
Pietro S. Oliveto, Jun He, Xin Yao
Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results. Int. J. Autom. Comput. 4 (3) (2007)
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models. Electron. Colloquium Comput. Complex. 14 (027) (2007)
Pietro S. Oliveto, Jun He, Xin Yao
Evolutionary algorithms and the Vertex Cover problem. IEEE Congress on Evolutionary Computation (2007)
Yuren Zhou, Jun He
Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids. Inf. Process. Lett. 104 (4) (2007)
Hongbin Dong, Jun He, Houkuan Huang, Wei Hou
Evolutionary programming using a mixed mutation strategy. Inf. Sci. 177 (1) (2007)
Yuren Zhou, Zhi Guo, Jun He
On the Running Time Analysis of the (1+1) Evolutionary Algorithm for the Subset Sum Problem. LSMS (1) (2007)

Jun He.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun He