Jun He

139 papers A 7B 23C 2Journal 80Unranked 27
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multiple direction search algorithm for continuous optimization.
Swarm Evol. Comput.
Wei Huang, Jun He, Liehuang Zhu
2025 J jnl
An adaptive helper and equivalent objective evolution strategy for constrained optimization.
Inf. Sci.
Tao Xu, Hongyang Chen, Jun He
2025 J jnl
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms.
Evol. Comput.
Jun He, Yuren Zhou
2025 J jnl
Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms.
CoRR
Jun He, Siang Yew Chong, Xin Yao
2025 J jnl
Evaluating XAI techniques under class imbalance using CPRD data.
Frontiers Artif. Intell.
Teena Rai, Jun He, Jaspreet Kaur, Yuan Shen, Mufti Mahmud, David J. Brown, Emma O'Dowd, David R. Baldwin
2025 — conf
Learning from Limited Data via Generating and Fine-Tuning.
ICIC (12)
Ying Zhang, Hongbin Dong, Hongbo Shi, Jun He, Xiaoping Zhang, Meng Li
2025 — conf
Preventive Healthcare Through Privacy-Preserving, Explainable and Inclusive Artificial Intelligence.
HCI (77)
Mufti Mahmud, David J. Brown, Yuan Shen, Muhammad Arifur Rahman, Jun He, M. Shamim Kaiser, Hamzah Luqman, Sajib Mistry, Noushath Shaffi, Vimbi Viswan, M. Mostafizur Rahman, Shamim Al Mamun, Tamanna Sharmeen, Rasha Alahmad, V. N. Manjunath Aradhya, Mohammad Farukh Hashmi, Shuqiang Wang, Cosimo Ieracitano, Nadia Mammone, Maryam Doborjeh, Kanad Ray
2025 — conf
State-of-the-Art Machine Learning Models for Detecting and Mitigating Disparities in Healthcare.
HCI (77)
Yuan Shen, Mufti Mahmud, Teena Rai, David J. Brown, Jun He, Muhammad Arifur Rahman, David R. Baldwin, Jaspreet Kaur, Emma O'Dowd, Richard B. Hubbard
2024 A conf
Accelerate Evolution Strategy by Proximal Policy Optimization.
GECCO
Tao Xu, Hongyang Chen, Jun He
2024 — conf
Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data.
ICONIP (5)
Yuan Shen, Mufti Mahmud, Teena Rai, Jun He, David J. Brown, Muhammad Arifur Rahman, Jaspreet Kaur, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
2024 B conf
Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data.
IJCNN
Teena Rai, Yuan Shen, Jun He, Mufti Mahmud, David J. Brown, Jaspreet Kaur, Emma O'Dowd, David R. Baldwin, Richard B. Hubbard
2023 — conf
Coupled Assignment Strategy of Agents in Many Targets Environment.
ICAART (1)
Azizkhon Afzalov, Ahmad Lotfi, Jun He
2023 B conf
Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data.
AIME
Teena Rai, Yuan Shen, Jaspreet Kaur, Jun He, Mufti Mahmud, David J. Brown, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
2023 J jnl
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms.
CoRR
Jun He, Yuren Zhou
2023 J jnl
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels.
CoRR
Jun He, Siang Yew Chong, Xin Yao
2022 — conf
A Novel Approach to Identifying DDoS Traffic in the Smart Home Network via Exploratory Data Analysis.
AII
Asmau Wali, Oluwasegun Apejoye, Thejavathy Raja, Jun He, Xiaoqi Ma
2022 J jnl
Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization.
IEEE Trans. Cybern.
Tao Xu, Jun He, Changjing Shang
2021 — conf
An Exploratory Data Analysis of the Network Behavior of Hive Home Devices.
IOTSMS
Asmau Wali, Oluwasegun Apejoye, Jun He, Xiaoqi Ma
2021 J jnl
Average convergence rate of evolutionary algorithms in continuous optimization.
Inf. Sci.
Yu Chen, Jun He
2021 J jnl
Error analysis of elitist randomized search heuristics.
Swarm Evol. Comput.
Cong Wang, Yu Chen, Jun He, Chengwang Xie
2021 J jnl
Influence of the Binomial Crossover on Performance of Randomized Search Heuristics.
CoRR
Cong Wang, Yu Chen, Jun He, Xiufen Zou
2021 — conf
Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets.
KES-AMSTA
Azizkhon Afzalov, Jun He, Ahmad Lotfi, Mehmet Emin Aydin
2021 — conf
Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends.
AII
Abeer Alzubaidi, Jaspreet Kaur, Mufti Mahmud, David J. Brown, Jun He, Graham R. Ball, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
2020 J jnl
Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study.
CoRR
Yu Chen, Jun He
2020 B conf
Heat-Map Based Occupancy Estimation Using Adaptive Boosting.
FUZZ-IEEE
Abdallah Naser, Ahmad Lotfi, Junpei Zhong, Jun He
2020 — conf
Human activity of daily living recognition in presence of an animal pet using thermal sensor array.
PETRA
Abdallah Naser, Ahmad Lotfi, Junpei Zhong, Jun He
2019 — conf
A Multi-population Helper and Equivalent Objective Differential Evolution Algorithm.
SSCI
Tao Xu, Jun He
2019 J jnl
A New Denoising Method for UHF PD Signals Using Adaptive VMD and SSA-Based Shrinkage Method.
Sensors
Jun Zhang, Jun He, Jiachuan Long, Min Yao, Wei Zhou
2019 J jnl
A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks.
Evol. Comput.
Siang Yew Chong, Peter Tiño, Jun He, Xin Yao
2019 J jnl
A Scalar Projection and Angle-Based Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Cybern.
Yuren Zhou, Yi Xiang, Zefeng Chen, Jun He, Jiahai Wang
2019 J jnl
A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points.
Appl. Soft Comput.
Rui Ding, Hongbin Dong, Jun He, Tao Li
2019 — conf
Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimisation.
ISICA
Yu Chen, Jun He
2019 J jnl
Coevolutionary systems and PageRank.
Artif. Intell.
Siang Yew Chong, Peter Tiño, Jun He
2019 — conf
Estimating Approximation Errors of Elitist Evolutionary Algorithms.
BIC-TA (1)
Cong Wang, Yu Chen, Jun He, Chengwang Xie
2019 J jnl
Estimating Approximation Errors of Elitist Evolutionary Algorithms.
CoRR
Cong Wang, Yu Chen, Jun He, Chengwang Xie
2019 — conf
Helper and equivalent objective different evolution for constrained optimisation.
GECCO (Companion)
Tao Xu, Jun He, Changjing Shang
2019 J jnl
Hybrid evolutionary programming using adaptive Lévy mutation and modified Nelder-Mead method.
Soft Comput.
Jinwei Pang, Jun He, Hongbin Dong
2019 J jnl
Multiobjective differential evolution enhanced with principle component analysis for constrained optimization.
Swarm Evol. Comput.
Wei Huang, Tao Xu, Kangshun Li, Jun He
2019 J jnl
Unlimited Budget Analysis of Randomised Search Heuristics.
CoRR
Jun He, Thomas Jansen, Christine Zarges
2019 — conf
Unlimited budget analysis.
GECCO (Companion)
Jun He, Thomas Jansen, Christine Zarges
2018 J jnl
A Matching Approach to Factor Scores Based on Online Sponsored Search Auction.
Int. J. Softw. Innov.
Xiaohui Li, Hongbin Dong, Yang Zhou, Jun He
2018 J jnl
A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms.
CoRR
Jun He, Yu Chen, Yuren Zhou
2018 J jnl
Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization.
CoRR
Yu Chen, Jun He
2018 J jnl
Improved gene expression programming to solve the inverse problem for ordinary differential equations.
Swarm Evol. Comput.
Kangshun Li, Yan Chen, Wei Li, Jun He, Yu Xue
2018 J jnl
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization.
CoRR
Wei Huang, Tao Xu, Jun He, Kangshun Li
2018 J jnl
New Methods of Studying Valley Fitness Landscapes.
CoRR
Jun He, Tao Xu
2018 — conf
U-NSGA-III: An Improved Evolutionary Many-Objective Optimization Algorithm.
BIC-TA (1)
Rui Ding, Hongbin Dong, Jun He, Xianbin Feng, Xiaodong Yu, Lijie Li
2017 B conf
A cooperative quantum particle swarm optimization based on multiple groups.
SMC
Wenjie Liu, Hongbin Dong, Jun He, Hongbo Shi
2017 — conf
An initial error analysis for evolutionary algorithms.
GECCO (Companion)
Jun He, Yuren Zhou, Guangming Li
2017 J jnl
Average Drift Analysis and Population Scalability.
IEEE Trans. Evol. Comput.
Jun He, Xin Yao
2017 J jnl
On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation.
Algorithmica
Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges
2017 C conf
Online sponsored search auction matching problem with advertiser credibility.
ICIS
Xiaohui Li, Yang Zhou, Hongbin Dong, Jun He
2016 — conf
A New Multi-objective Model for Constrained Optimisation.
UKCI
Tao Xu, Jun He, Changjing Shang, Weiqin Ying
2016 C conf
A biogeography-based optimization algorithm with multiple migrations.
ICIS
Weichao Chai, Hongbin Dong, Jun He, Wenqian Shang
2016 B conf
An analytic expression of relative approximation error for a class of evolutionary algorithms.
CEC
Jun He
2016 B conf
An improved partheno-genetic algorithm for the multi-constrained problem of curling match arrangement.
CEC
Rui Ding, Hongbin Dong, Jun He, Yuxin Dong
2016 J jnl
Average Convergence Rate of Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Jun He, Guangming Lin
2016 B conf
Mixed mutation strategy evolutionary programming based on Shapley value.
CEC
Jinwei Pang, Hongbin Dong, Jun He, Qi Feng
2016 — conf
The Research of Solving Inverse Problems of Complex Differential Equations.
BIC-TA (2)
Kangshun Li, Yan Chen, Jun He
2015 B conf
Analysis of Solution Quality of a Multiobjective Optimization-Based Evolutionary Algorithm for Knapsack Problem.
EvoCOP
Jun He, Yong Wang, Yuren Zhou
2015 J jnl
Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem.
CoRR
Jun He, Yong Wang, Yuren Zhou
2015 J jnl
Average Convergence Rate of Evolutionary Algorithms.
CoRR
Jun He, Guangming Lin
2015 B conf
Feature subset selection using dynamic mixed strategy.
CEC
Hongbin Dong, Xuyang Teng, Yang Zhou, Jun He
2015 J jnl
Genetic and Evolutionary Computation.
Theor. Comput. Sci.
Tobias Friedrich, Jun He, Thomas Jansen, Alberto Moraglio
2015 J jnl
Multi-objective Differential Evolution with Helper Functions for Constrained Optimization.
CoRR
Jun He, Tao Xu
2015 A conf
On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations.
GECCO
Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges
2015 J jnl
On the Easiest and Hardest Fitness Functions.
IEEE Trans. Evol. Comput.
Jun He, Tianshi Chen, Xin Yao
2015 A ed.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17 - 20, 2015
FOGA
Jun He, Thomas Jansen, Gabriela Ochoa, Christine Zarges
2014 J jnl
A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem.
CoRR
Jun He, Feidun He, Hongbin Dong
2014 J jnl
A Theoretical Assessment of Solution Quality in Evolutionary Algorithms for the Knapsack Problem.
CoRR
Jun He, Boris Mitavskiy, Yuren Zhou
2014 B conf
A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem.
IEEE Congress on Evolutionary Computation
Jun He, Boris Mitavskiy, Yuren Zhou
2014 J jnl
Performance Analysis of Evolutionary Algorithms for the Minimum Label Spanning Tree Problem.
IEEE Trans. Evol. Comput.
Xinsheng Lai, Yuren Zhou, Jun He, Jun Zhang
2014 J jnl
Performance Analysis on Evolutionary Algorithms for the Minimum Label Spanning Tree Problem.
CoRR
Xinsheng Lai, Yuren Zhou, Jun He, Jun Zhang
2013 J jnl
A Further Generalization of the Finite-Population Geiringer-like Theorem for POMDPs to Allow Recombination Over Arbitrary Set Covers.
CoRR
Boris Mitavskiy, Jun He
2013 J jnl
A Unified Markov Chain Approach to Analysing Randomised Search Heuristics.
CoRR
Jun He, Feidun He, Xin Yao
2013 A conf
A further generalization of the finite-population geiringer-like theorem for pomdps to allow recombination overarbitrary set covers.
FOGA
Boris Mitavskiy, Jun He
2013 J jnl
Average Drift Analysis and Population Scalability.
CoRR
Jun He, Xin Yao
2013 J jnl
Combining Drift Analysis and Generalized Schema Theory to Design Efficient Hybrid and/or Mixed Strategy EAs
CoRR
Boris Mitavskiy, Jun He
2013 B conf
Combining drift analysis and generalized schema theory to design efficient hybrid and/or mixed strategy EAs.
IEEE Congress on Evolutionary Computation
Boris Mitavskiy, Jun He
2013 J jnl
Design and Analysis of an Estimation of Distribution Approximation Algorithm for Single Machine Scheduling in Uncertain Environments.
CoRR
Boris Mitavskiy, Jun He
2013 J jnl
Geiringer Theorems: From Population Genetics to Computational Intelligence, Memory Evolutive Systems and Hebbian Learning
CoRR
Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
2013 J jnl
Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning.
Nat. Comput.
Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
2013 J jnl
Mixed Strategy May Outperform Pure Strategy
CoRR
Jun He, Wei Hou, Hongbin Dong, Feidun He
2013 B conf
Mixed strategy may outperform pure strategy: An initial study.
IEEE Congress on Evolutionary Computation
Jun He, Wei Hou, Hongbin Dong, Feidun He
2012 J jnl
A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions
CoRR
Jun He, Tianshi Chen
2012 — conf
A Mixed Strategy Multi-Objective Coevolutionary Algorithm Based on Single-Point Mutation and Particle Swarm Optimization.
RSKT
Xin Zhang, Hongbin Dong, Xue Yang, Jun He
2012 J jnl
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm
CoRR
Boris Mitavskiy, Jun He
2012 J jnl
A hybrid artificial immune system and Self Organising Map for network intrusion detection
CoRR
Simon T. Powers, Jun He
2012 B conf
A polynomial time approximation scheme for a single machine scheduling problem using a hybrid evolutionary algorithm.
IEEE Congress on Evolutionary Computation
Boris Mitavskiy, Jun He
2012 B conf
Pure Strategy or Mixed Strategy? - An Initial Comparison of Their Asymptotic Convergence Rate and Asymptotic Hitting Time.
EvoCOP
Jun He, Feidun He, Hongbin Dong
2011 J jnl
Drift conditions for estimating the first hitting times of evolutionary algorithms.
Int. J. Comput. Math.
Yu Chen, Xiufen Zou, Jun He
2011 J jnl
Population Scalability Analysis of Abstract Population-based Random Search: Spectral Radius
CoRR
Jun He, Tianshi Chen
2011 J jnl
Pure Strategy or Mixed Strategy?
CoRR
Jun He, Feidun He, Hongbin Dong
2010 B conf
A mixed strategy for Evolutionary Programming based on local fitness landscape.
IEEE Congress on Evolutionary Computation
Liang Shen, Jun He
2010 B conf
A note on the first hitting time of (1 + lambda) evolutionary algorithm for linear functions with boolean inputs.
IEEE Congress on Evolutionary Computation
Jun He
2010 J jnl
Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models.
Evol. Comput.
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
2010 J jnl
Choosing selection pressure for wide-gap problems.
Theor. Comput. Sci.
Tianshi Chen, Jun He, Guoliang Chen, Xin Yao
2009 J jnl
A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems.
IEEE Trans. Syst. Man Cybern. Part B
Tianshi Chen, Jun He, Guangzhong Sun, Guoliang Chen, Xin Yao
2009 J jnl
A comparative runtime analysis of heuristic algorithms for satisfiability problems.
Artif. Intell.
Yuren Zhou, Jun He, Qing Nie
2009 J jnl
A mixed strategy of combining evolutionary algorithms with multigrid methods.
Int. J. Comput. Math.
Jun He, Lishan Kang
2009 J jnl
Analyses of Simple Hybrid Algorithms for the Vertex Cover Problem.
Evol. Comput.
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
2009 J jnl
Analysis of the (1+1) -EA for Finding Approximate Solutions to Vertex Cover Problems.
IEEE Trans. Evol. Comput.
Pietro S. Oliveto, Jun He, Xin Yao
2008 — conf
A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem.
Theory of Evolutionary Algorithms
Jun He, Yuren Zhou, Xin Yao
2008 J jnl
A hybrid artificial immune system and Self Organising Map for network intrusion detection.
Inf. Sci.
Simon T. Powers, Jun He
2008 B conf
Analysis of population-based evolutionary algorithms for the vertex cover problem.
IEEE Congress on Evolutionary Computation
Pietro S. Oliveto, Jun He, Xin Yao
2007 — conf
A Comparison of GAs Using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Average Capacity Knapsack.
ISICA
Jun He, Yuren Zhou
2007 J jnl
A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability.
Evol. Comput.
Jun He, Colin R. Reeves, Carsten Witt, Xin Yao
2007 J jnl
A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems.
IEEE Trans. Evol. Comput.
Yuren Zhou, Jun He
2007 A conf
A comparison of GAs using penalizing infeasible solutions and repairing infeasible solutions on restrictive capacity knapsack problem.
GECCO
Jun He, Yuren Zhou
2007 J jnl
Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models.
Electron. Colloquium Comput. Complex.
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
2007 A conf
Approximating covering problems by randomized search heuristics using multi-objective models.
GECCO
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann, Jun He, Carsten Witt
2007 J jnl
Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids.
Inf. Process. Lett.
Yuren Zhou, Jun He
2007 B conf
Evolutionary algorithms and the Vertex Cover problem.
IEEE Congress on Evolutionary Computation
Pietro S. Oliveto, Jun He, Xin Yao
2007 J jnl
Evolutionary programming using a mixed mutation strategy.
Inf. Sci.
Hongbin Dong, Jun He, Houkuan Huang, Wei Hou
2007 B conf
On improving approximate solutions by evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
2007 — conf
On the Running Time Analysis of the (1+1) Evolutionary Algorithm for the Subset Sum Problem.
LSMS (1)
Yuren Zhou, Zhi Guo, Jun He
2007 J jnl
Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results.
Int. J. Autom. Comput.
Pietro S. Oliveto, Jun He, Xin Yao
2006 B conf
Analysis of Scalable Parallel Evolutionary Algorithms.
IEEE Congress on Evolutionary Computation
Jun He, Xin Yao
2006 J jnl
Current developments and future directions of bio-inspired computation and implications for ecoinformatics.
Ecol. Informatics
Xin Yao, Yong Liu, Jin Li, Jun He, Colin Frayn
2005 — conf
A Game-Theoretic Approach for Designing Mixed Mutation Strategies.
ICNC (3)
Jun He, Xin Yao
2005 — conf
A Mixed Mutation Strategy Evolutionary Programming Combined with Species Conservation Technique.
MICAI
Hongbin Dong, Jun He, Houkuan Huang, Wei Hou
2005 J jnl
A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem.
IEEE Trans. Syst. Man Cybern. Part C
Jun He, Xin Yao, Jin Li
2005 — conf
The Convergence of a Multi-objective Evolutionary Algorithm Based on Grids.
ICNC (2)
Yuren Zhou, Jun He
2004 A conf
A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics.
PPSN
Xiufen Zou, Minzhong Liu, Lishan Kang, Jun He
2004 J jnl
A study of drift analysis for estimating computation time of evolutionary algorithms.
Nat. Comput.
Jun He, Xin Yao
2004 J jnl
Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching.
J. Comput. Sci. Technol.
Jun He, Xin Yao
2004 B conf
To understand one-dimensional continuous fitness landscapes by drift analysis.
IEEE Congress on Evolutionary Computation
Jun He, Xin Yao, Qingfu Zhang
2003 B conf
An analysis of evolutionary algorithms for finding approximation solutions to hard optimisation problems.
IEEE Congress on Evolutionary Computation
Jun He, Xin Yao
2003 B conf
Multi-objective and MGG evolutionary algorithm for constrained optimization.
IEEE Congress on Evolutionary Computation
Yuren Zhou, Yuanxing Li, Jun He, Lishan Kang
2003 J jnl
Towards an analytic framework for analysing the computation time of evolutionary algorithms.
Artif. Intell.
Jun He, Xin Yao
2002 J jnl
Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85].
Artif. Intell.
Jun He, Xin Yao
2002 J jnl
From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms.
IEEE Trans. Evol. Comput.
Jun He, Xin Yao
2001 J jnl
Conditions for the convergence of evolutionary algorithms.
J. Syst. Archit.
Jun He, Xinghuo Yu
2001 J jnl
Drift analysis and average time complexity of evolutionary algorithms.
Artif. Intell.
Jun He, Xin Yao
2001 J jnl
Massively parallel algorithms from physics and biology.
Int. J. Comput. Math.
Lishan Kang, Yuanxiang Li, Zhengjun Pan, Jun He, David J. Evans
2000 J jnl
Solving equations by hybrid evolutionary computation techniques.
IEEE Trans. Evol. Comput.
Jun He, Jiyou Xu, Xin Yao
1999 J jnl
On the Convergence Rates of Genetic Algorithms.
Theor. Comput. Sci.
Jun He, Lishan Kang
1995 J jnl
Convergence of Genetic Evolution Algorithms for Optimization.
Parallel Algorithms Appl.
Jun He, Lishan Kang, Yong-Jun Chen
1994 — conf
An Evolutionary Approach to Adaptive Model-Building.
Evo Workshops
Zhengjun Pan, Lishan Kang, Jun He, Yong Liu