An Evolutionary Approach to Adaptive Model-Building. - Zhengjun Pan; Lishan Kang; Jun He 004; Yong Liu 012 (Evo Workshops, 1994)

Convergence of Genetic Evolution Algorithms for Optimization. - Jun He 004; Lishan Kang; Yong-Jun Chen (Parallel Algorithms Appl., 1995)

On the Convergence Rates of Genetic Algorithms. - Jun He 004; Lishan Kang (Theor. Comput. Sci., 1999)

Solving equations by hybrid evolutionary computation techniques. - Jun He 004; Jiyou Xu; Xin Yao 001 (IEEE Trans. Evol. Comput., 2000)

Drift analysis and average time complexity of evolutionary algorithms. - Jun He 004; Xin Yao 001 (Artif. Intell., 2001)

Massively parallel algorithms from physics and biology. - Lishan Kang; Yuanxiang Li; Zhengjun Pan; Jun He 004; David J. Evans 001 (Int. J. Comput. Math., 2001)

Conditions for the convergence of evolutionary algorithms. - Jun He 004; Xinghuo Yu 001 (J. Syst. Archit., 2001)

Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85]. - Jun He 004; Xin Yao 001 (Artif. Intell., 2002)

From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms. - Jun He 004; Xin Yao 001 (IEEE Trans. Evol. Comput., 2002)

An analysis of evolutionary algorithms for finding approximation solutions to hard optimisation problems. - Jun He 004; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2003)

Multi-objective and MGG evolutionary algorithm for constrained optimization. - Yuren Zhou; Yuanxing Li; Jun He 004; Lishan Kang (IEEE Congress on Evolutionary Computation, 2003)

Towards an analytic framework for analysing the computation time of evolutionary algorithms. - Jun He 004; Xin Yao 001 (Artif. Intell., 2003)

To understand one-dimensional continuous fitness landscapes by drift analysis. - Jun He 004; Xin Yao 001; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2004)

A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics. - Xiufen Zou; Minzhong Liu; Lishan Kang; Jun He 004 (PPSN, 2004)

Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching. - Jun He 004; Xin Yao 001 (J. Comput. Sci. Technol., 2004)

A study of drift analysis for estimating computation time of evolutionary algorithms. - Jun He 004; Xin Yao 001 (Nat. Comput., 2004)

A Game-Theoretic Approach for Designing Mixed Mutation Strategies. - Jun He 004; Xin Yao 001 (ICNC (3), 2005)

The Convergence of a Multi-objective Evolutionary Algorithm Based on Grids. - Yuren Zhou; Jun He 004 (ICNC (2), 2005)

A Mixed Mutation Strategy Evolutionary Programming Combined with Species Conservation Technique. - Hongbin Dong; Jun He 004; Houkuan Huang; Wei Hou (MICAI, 2005)

A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem. - Jun He 004; Xin Yao 001; Jin Li 005 (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Analysis of Scalable Parallel Evolutionary Algorithms. - Jun He 004; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2006)

Current developments and future directions of bio-inspired computation and implications for ecoinformatics. - Xin Yao 001; Yong Liu 012; Jin Li 005; Jun He 004; Colin Frayn (Ecol. Informatics, 2006)

On improving approximate solutions by evolutionary algorithms. - Tobias Friedrich 001; Jun He 004; Nils Hebbinghaus; Frank Neumann 001; Carsten Witt (IEEE Congress on Evolutionary Computation, 2007)

Evolutionary algorithms and the Vertex Cover problem. - Pietro S. Oliveto; Jun He 004; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2007)

A comparison of GAs using penalizing infeasible solutions and repairing infeasible solutions on restrictive capacity knapsack problem. - Jun He 004; Yuren Zhou (GECCO, 2007)

A Comparison of GAs Using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Average Capacity Knapsack. - Jun He 004; Yuren Zhou (ISICA, 2007)

On the Running Time Analysis of the (1+1) Evolutionary Algorithm for the Subset Sum Problem. - Yuren Zhou; Zhi Guo; Jun He 004 (LSMS (1), 2007)

A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability. - Jun He 004; Colin R. Reeves; Carsten Witt; Xin Yao 001 (Evol. Comput., 2007)

Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results. - Pietro S. Oliveto; Jun He 004; Xin Yao 001 (Int. J. Autom. Comput., 2007)

Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids. - Yuren Zhou; Jun He 004 (Inf. Process. Lett., 2007)

Evolutionary programming using a mixed mutation strategy. - Hongbin Dong; Jun He 004; Houkuan Huang; Wei Hou (Inf. Sci., 2007)

A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems. - Yuren Zhou; Jun He 004 (IEEE Trans. Evol. Comput., 2007)

Analysis of population-based evolutionary algorithms for the vertex cover problem. - Pietro S. Oliveto; Jun He 004; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2008)

A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem. - Jun He 004; Yuren Zhou; Xin Yao 001 (Theory of Evolutionary Algorithms, 2008)

A hybrid artificial immune system and Self Organising Map for network intrusion detection. - Simon T. Powers; Jun He 004 (Inf. Sci., 2008)

A comparative runtime analysis of heuristic algorithms for satisfiability problems. - Yuren Zhou; Jun He 004; Qing Nie (Artif. Intell., 2009)

Analyses of Simple Hybrid Algorithms for the Vertex Cover Problem. - Tobias Friedrich 001; Jun He 004; Nils Hebbinghaus; Frank Neumann 001; Carsten Witt (Evol. Comput., 2009)

A mixed strategy of combining evolutionary algorithms with multigrid methods. - Jun He 004; Lishan Kang (Int. J. Comput. Math., 2009)

Analysis of the (1+1) -EA for Finding Approximate Solutions to Vertex Cover Problems. - Pietro S. Oliveto; Jun He 004; Xin Yao 001 (IEEE Trans. Evol. Comput., 2009)

A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems. - Tianshi Chen 002; Jun He 004; Guangzhong Sun; Guoliang Chen 001; Xin Yao 001 (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A note on the first hitting time of (1 + lambda) evolutionary algorithm for linear functions with boolean inputs. - Jun He 004 (IEEE Congress on Evolutionary Computation, 2010)

A mixed strategy for Evolutionary Programming based on local fitness landscape. - Liang Shen 006; Jun He 004 (IEEE Congress on Evolutionary Computation, 2010)

Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models. - Tobias Friedrich 001; Jun He 004; Nils Hebbinghaus; Frank Neumann 001; Carsten Witt (Evol. Comput., 2010)

Choosing selection pressure for wide-gap problems. - Tianshi Chen 002; Jun He 004; Guoliang Chen 001; Xin Yao 001 (Theor. Comput. Sci., 2010)

Population Scalability Analysis of Abstract Population-based Random Search: Spectral Radius - Jun He 004; Tianshi Chen 002 (CoRR, 2011)

Pure Strategy or Mixed Strategy? - Jun He 004; Feidun He; Hongbin Dong (CoRR, 2011)

Drift conditions for estimating the first hitting times of evolutionary algorithms. - Yu Chen 001; Xiufen Zou; Jun He 004 (Int. J. Comput. Math., 2011)

A polynomial time approximation scheme for a single machine scheduling problem using a hybrid evolutionary algorithm. - Boris Mitavskiy; Jun He 004 (IEEE Congress on Evolutionary Computation, 2012)

Pure Strategy or Mixed Strategy? - An Initial Comparison of Their Asymptotic Convergence Rate and Asymptotic Hitting Time. - Jun He 004; Feidun He; Hongbin Dong (EvoCOP, 2012)

A Mixed Strategy Multi-Objective Coevolutionary Algorithm Based on Single-Point Mutation and Particle Swarm Optimization. - Xin Zhang; Hongbin Dong; Xue Yang; Jun He 004 (RSKT, 2012)

A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions - Jun He 004; Tianshi Chen 002 (CoRR, 2012)

Mixed strategy may outperform pure strategy: An initial study. - Jun He 004; Wei Hou; Hongbin Dong; Feidun He (IEEE Congress on Evolutionary Computation, 2013)

Combining drift analysis and generalized schema theory to design efficient hybrid and/or mixed strategy EAs. - Boris Mitavskiy; Jun He 004 (IEEE Congress on Evolutionary Computation, 2013)

A further generalization of the finite-population geiringer-like theorem for pomdps to allow recombination overarbitrary set covers. - Boris Mitavskiy; Jun He 004 (FOGA, 2013)

A Unified Markov Chain Approach to Analysing Randomised Search Heuristics. - Jun He 004; Feidun He; Xin Yao 001 (CoRR, 2013)

Design and Analysis of an Estimation of Distribution Approximation Algorithm for Single Machine Scheduling in Uncertain Environments. - Boris Mitavskiy; Jun He 004 (CoRR, 2013)

Mixed Strategy May Outperform Pure Strategy - Jun He 004; Wei Hou; Hongbin Dong; Feidun He (CoRR, 2013)

A Further Generalization of the Finite-Population Geiringer-like Theorem for POMDPs to Allow Recombination Over Arbitrary Set Covers. - Boris Mitavskiy; Jun He 004 (CoRR, 2013)

Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning. - Boris Mitavskiy; Elio Tuci; Chris Cannings; Jonathan E. Rowe; Jun He 004 (Nat. Comput., 2013)

A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem. - Jun He 004; Boris Mitavskiy; Yuren Zhou (IEEE Congress on Evolutionary Computation, 2014)

A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem. - Jun He 004; Feidun He; Hongbin Dong (CoRR, 2014)

Performance Analysis of Evolutionary Algorithms for the Minimum Label Spanning Tree Problem. - Xinsheng Lai; Yuren Zhou; Jun He 004; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2014)

Feature subset selection using dynamic mixed strategy. - Hongbin Dong; Xuyang Teng; Yang Zhou; Jun He 004 (CEC, 2015)

Analysis of Solution Quality of a Multiobjective Optimization-Based Evolutionary Algorithm for Knapsack Problem. - Jun He 004; Yong Wang 002; Yuren Zhou (EvoCOP, 2015)

On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations. - Dogan Corus; Jun He 004; Thomas Jansen 001; Pietro S. Oliveto; Dirk Sudholt; Christine Zarges (GECCO, 2015)

Multi-objective Differential Evolution with Helper Functions for Constrained Optimization. - Jun He 004; Tao Xu (CoRR, 2015)

Genetic and Evolutionary Computation. - Tobias Friedrich 001; Jun He 004; Thomas Jansen 001; Alberto Moraglio (Theor. Comput. Sci., 2015)

On the Easiest and Hardest Fitness Functions. - Jun He 004; Tianshi Chen 002; Xin Yao 001 (IEEE Trans. Evol. Comput., 2015)

A biogeography-based optimization algorithm with multiple migrations. - Weichao Chai; Hongbin Dong; Jun He 004; Wenqian Shang (ICIS, 2016)

The Research of Solving Inverse Problems of Complex Differential Equations. - Kangshun Li; Yan Chen; Jun He 004 (BIC-TA (2), 2016)

An improved partheno-genetic algorithm for the multi-constrained problem of curling match arrangement. - Rui Ding 008; Hongbin Dong; Jun He 004; Yuxin Dong (CEC, 2016)

An analytic expression of relative approximation error for a class of evolutionary algorithms. - Jun He 004 (CEC, 2016)

Mixed mutation strategy evolutionary programming based on Shapley value. - Jinwei Pang; Hongbin Dong; Jun He 004; Qi Feng (CEC, 2016)

A New Multi-objective Model for Constrained Optimisation. - Tao Xu; Jun He 004; Changjing Shang; Weiqin Ying (UKCI, 2016)

Average Convergence Rate of Evolutionary Algorithms. - Jun He 004; Guangming Lin (IEEE Trans. Evol. Comput., 2016)

Online sponsored search auction matching problem with advertiser credibility. - Xiaohui Li; Yang Zhou; Hongbin Dong; Jun He 004 (ICIS, 2017)

An initial error analysis for evolutionary algorithms. - Jun He 004; Yuren Zhou; Guangming Li (GECCO (Companion), 2017)

A cooperative quantum particle swarm optimization based on multiple groups. - Wenjie Liu; Hongbin Dong; Jun He 004; Hongbo Shi (SMC, 2017)

On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation. - Dogan Corus; Jun He 004; Thomas Jansen 001; Pietro S. Oliveto; Dirk Sudholt; Christine Zarges (Algorithmica, 2017)

Average Drift Analysis and Population Scalability. - Jun He 004; Xin Yao 001 (IEEE Trans. Evol. Comput., 2017)

U-NSGA-III: An Improved Evolutionary Many-Objective Optimization Algorithm. - Rui Ding 008; Hongbin Dong; Jun He 004; Xianbin Feng; Xiaodong Yu; Lijie Li (BIC-TA (1), 2018)

New Methods of Studying Valley Fitness Landscapes. - Jun He 004; Tao Xu (CoRR, 2018)

Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization. - Wei Huang 008; Tao Xu; Jun He 004; Kangshun Li (CoRR, 2018)

A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms. - Jun He 004; Yu Chen 001; Yuren Zhou (CoRR, 2018)

Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization. - Yu Chen 001; Jun He 004 (CoRR, 2018)

A Matching Approach to Factor Scores Based on Online Sponsored Search Auction. - Xiaohui Li; Hongbin Dong; Yang Zhou; Jun He 004 (Int. J. Softw. Innov., 2018)

Improved gene expression programming to solve the inverse problem for ordinary differential equations. - Kangshun Li; Yan Chen; Wei Li 078; Jun He 004; Yu Xue 003 (Swarm Evol. Comput., 2018)

Estimating Approximation Errors of Elitist Evolutionary Algorithms. - Cong Wang; Yu Chen 001; Jun He 004; Chengwang Xie (BIC-TA (1), 2019)

Unlimited budget analysis. - Jun He 004; Thomas Jansen 001; Christine Zarges (GECCO (Companion), 2019)

Helper and equivalent objective different evolution for constrained optimisation. - Tao Xu; Jun He 004; Changjing Shang (GECCO (Companion), 2019)

Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimisation. - Yu Chen 001; Jun He 004 (ISICA, 2019)

A Multi-population Helper and Equivalent Objective Differential Evolution Algorithm. - Tao Xu; Jun He 004 (SSCI, 2019)

Coevolutionary systems and PageRank. - Siang Yew Chong; Peter Tiño; Jun He 004 (Artif. Intell., 2019)

A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points. - Rui Ding 008; Hongbin Dong; Jun He 004; Tao Li 023 (Appl. Soft Comput., 2019)

Unlimited Budget Analysis of Randomised Search Heuristics. - Jun He 004; Thomas Jansen 001; Christine Zarges (CoRR, 2019)

A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks. - Siang Yew Chong; Peter Tiño; Jun He 004; Xin Yao 001 (Evol. Comput., 2019)

A New Denoising Method for UHF PD Signals Using Adaptive VMD and SSA-Based Shrinkage Method. - Jun Zhang 003; Jun He 004; Jiachuan Long; Min Yao; Wei Zhou (Sensors, 2019)

Hybrid evolutionary programming using adaptive Lévy mutation and modified Nelder-Mead method. - Jinwei Pang; Jun He 004; Hongbin Dong (Soft Comput., 2019)

Multiobjective differential evolution enhanced with principle component analysis for constrained optimization. - Wei Huang 008; Tao Xu; Kangshun Li; Jun He 004 (Swarm Evol. Comput., 2019)

A Scalar Projection and Angle-Based Evolutionary Algorithm for Many-Objective Optimization Problems. - Yuren Zhou; Yi Xiang; Zefeng Chen; Jun He 004; Jiahai Wang (IEEE Trans. Cybern., 2019)

Heat-Map Based Occupancy Estimation Using Adaptive Boosting. - Abdallah Naser; Ahmad Lotfi; Junpei Zhong; Jun He 004 (FUZZ-IEEE, 2020)

Human activity of daily living recognition in presence of an animal pet using thermal sensor array. - Abdallah Naser; Ahmad Lotfi; Junpei Zhong; Jun He 004 (PETRA, 2020)

Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study. - Yu Chen 001; Jun He 004 (CoRR, 2020)

Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends. - Abeer Alzubaidi; Jaspreet Kaur; Mufti Mahmud; David J. Brown 001; Jun He 004; Graham R. Ball; David R. Baldwin; Emma O'Dowd; Richard B. Hubbard (AII, 2021)

An Exploratory Data Analysis of the Network Behavior of Hive Home Devices. - Asmau Wali; Oluwasegun Apejoye; Jun He 004; Xiaoqi Ma (IOTSMS, 2021)

Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets. - Azizkhon Afzalov; Jun He 004; Ahmad Lotfi; Mehmet Emin Aydin (KES-AMSTA, 2021)

Influence of the Binomial Crossover on Performance of Randomized Search Heuristics. - Cong Wang; Yu Chen 001; Jun He 004; Xiufen Zou (CoRR, 2021)

Average convergence rate of evolutionary algorithms in continuous optimization. - Yu Chen 001; Jun He 004 (Inf. Sci., 2021)

Error analysis of elitist randomized search heuristics. - Cong Wang; Yu Chen 001; Jun He 004; Chengwang Xie (Swarm Evol. Comput., 2021)

A Novel Approach to Identifying DDoS Traffic in the Smart Home Network via Exploratory Data Analysis. - Asmau Wali; Oluwasegun Apejoye; Thejavathy Raja; Jun He 004; Xiaoqi Ma (AII, 2022)

Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization. - Tao Xu; Jun He 004; Changjing Shang (IEEE Trans. Cybern., 2022)

Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data. - Teena Rai; Yuan Shen; Jaspreet Kaur; Jun He 004; Mufti Mahmud; David J. Brown 001; David R. Baldwin; Emma O'Dowd; Richard B. Hubbard (AIME, 2023)

Coupled Assignment Strategy of Agents in Many Targets Environment. - Azizkhon Afzalov; Ahmad Lotfi; Jun He 004 (ICAART (1), 2023)

Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels. - Jun He 004; Siang Yew Chong; Xin Yao 001 (CoRR, 2023)

Accelerate Evolution Strategy by Proximal Policy Optimization. - Tao Xu; Hongyang Chen; Jun He 004 (GECCO, 2024)

Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data. - Yuan Shen; Mufti Mahmud; Teena Rai; Jun He 004; David J. Brown 001; Muhammad Arifur Rahman; Jaspreet Kaur; David R. Baldwin; Emma O'Dowd; Richard B. Hubbard (ICONIP (5), 2024)

Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data. - Teena Rai; Yuan Shen; Jun He 004; Mufti Mahmud; David J. Brown 001; Jaspreet Kaur; Emma O'Dowd; David R. Baldwin; Richard B. Hubbard (IJCNN, 2024)

Learning from Limited Data via Generating and Fine-Tuning. - Ying Zhang; Hongbin Dong; Hongbo Shi; Jun He 004; Xiaoping Zhang; Meng Li (ICIC (12), 2025)

Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms. - Jun He 004; Yuren Zhou (Evol. Comput., 2025)

An adaptive helper and equivalent objective evolution strategy for constrained optimization. - Tao Xu; Hongyang Chen; Jun He 004 (Inf. Sci., 2025)

Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms. - Jun He 004; Siang Yew Chong; Xin Yao 001 (CoRR, 2025)