default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJun He 0004
Person information
- affiliation: Nottingham Trent University, School of Science and Technology, UK
- affiliation: Aberystwyth University, UK
- affiliation (former): University of Birmingham, UK
Other persons with the same name
- Jun He — disambiguation page
- Jun He 0001
![[0000-0001-5201-4445]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5201-4445")
— Uppsala University, Sweden (and 1 more) - Jun He 0002 — National University of Singapore
- Jun He 0003 — University of Pittsburgh, PA, USA
- Jun He 0005 — Huawei Techologies, Nanjing, China
- Jun He 0006 — Nanjing University of Information Science and Technology, China (and 1 more)
- Jun He 0007 — The University of Nottingham, Ningbo, China
- Jun He 0008 — Renmin University of China, Beijing, China
- Jun He 0009 — Beijing Normal University, China
- Jun He 0010 — University of Arizona, USA (and 1 more)
- Jun He 0011 — University of Michigan-Dearborn, USA
- Jun He 0012 — Southwest University, School of Computer and Information Science, Chongqing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j48]Jun He, Yuren Zhou:
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms. Evol. Comput. 33(1): 1-25 (2025)- [j47]Tao Xu, Hongyang Chen, Jun He:
An adaptive helper and equivalent objective evolution strategy for constrained optimization. Inf. Sci. 690: 121536 (2025) - [i31]Jun He, Siang Yew Chong, Xin Yao:
Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms. CoRR abs/2506.15602 (2025) - 2024
- [c54]Tao Xu, Hongyang Chen, Jun He:
Accelerate Evolution Strategy by Proximal Policy Optimization. GECCO 2024 - [c53]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:
Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data. ICONIP (5) 2024: 152-166 - [c52]Teena Rai, Yuan Shen, Jun He, Mufti Mahmud, David J. Brown, Jaspreet Kaur, Emma O'Dowd, David R. Baldwin, Richard B. Hubbard:
Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data. IJCNN 2024: 1-8 - 2023
- [c51]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: 35-39 - [c50]Azizkhon Afzalov, Ahmad Lotfi, Jun He:
Coupled Assignment Strategy of Agents in Many Targets Environment. ICAART (1) 2023: 372-379 - [i30]Jun He, Yuren Zhou:
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms. CoRR abs/2309.00851 (2023) - [i29]Jun He, Siang Yew Chong, Xin Yao:
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels. CoRR abs/2311.10502 (2023) - 2022
- [j46]Tao Xu, Jun He, Changjing Shang:
Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization. IEEE Trans. Cybern. 52(1): 240-251 (2022) - [c49]Asmau Wali, Oluwasegun Apejoye, Thejavathy Raja, Jun He, Xiaoqi Ma:
A Novel Approach to Identifying DDoS Traffic in the Smart Home Network via Exploratory Data Analysis. AII 2022: 478-498 - 2021
- [j45]Yu Chen, Jun He:
Average convergence rate of evolutionary algorithms in continuous optimization. Inf. Sci. 562: 200-219 (2021) - [j44]Cong Wang, Yu Chen, Jun He, Chengwang Xie:
Error analysis of elitist randomized search heuristics. Swarm Evol. Comput. 63: 100875 (2021) - [c48]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: 43-59 - [c47]Asmau Wali, Oluwasegun Apejoye, Jun He, Xiaoqi Ma:
An Exploratory Data Analysis of the Network Behavior of Hive Home Devices. IOTSMS 2021: 1-8 - [c46]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: 451-463 - [i28]Cong Wang, Yu Chen, Jun He, Xiufen Zou:
Influence of the Binomial Crossover on Performance of Randomized Search Heuristics. CoRR abs/2109.14195 (2021) - 2020
- [c45]Abdallah Naser, Ahmad Lotfi, Junpei Zhong, Jun He:
Heat-Map Based Occupancy Estimation Using Adaptive Boosting. FUZZ-IEEE 2020: 1-7 - [c44]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: 53:1-53:6 - [i27]Yu Chen, Jun He:
Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study. CoRR abs/2001.10932 (2020)
2010 – 2019
- 2019
- [j43]Siang Yew Chong, Peter Tiño, Jun He:
Coevolutionary systems and PageRank. Artif. Intell. 277 (2019) - [j42]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: 447-464 (2019) - [j41]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): 195-228 (2019) - [j40]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): 1594 (2019) - [j39]Jinwei Pang, Jun He, Hongbin Dong:
Hybrid evolutionary programming using adaptive Lévy mutation and modified Nelder-Mead method. Soft Comput. 23(17): 7913-7939 (2019) - [j38]Wei Huang, Tao Xu, Kangshun Li, Jun He:
Multiobjective differential evolution enhanced with principle component analysis for constrained optimization. Swarm Evol. Comput. 50 (2019) - [j37]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): 2073-2084 (2019) - [c43]Cong Wang, Yu Chen, Jun He, Chengwang Xie:
Estimating Approximation Errors of Elitist Evolutionary Algorithms. BIC-TA (1) 2019: 325-340 - [c42]Tao Xu, Jun He, Changjing Shang:
Helper and equivalent objective different evolution for constrained optimisation. GECCO (Companion) 2019: 9-10 - [c41]Jun He, Thomas Jansen, Christine Zarges:
Unlimited budget analysis. GECCO (Companion) 2019: 427-428 - [c40]Yu Chen, Jun He:
Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimisation. ISICA 2019: 31-45 - [c39]Tao Xu, Jun He:
A Multi-population Helper and Equivalent Objective Differential Evolution Algorithm. SSCI 2019: 2237-2244 - [i26]Cong Wang, Yu Chen, Jun He, Chengwang Xie:
Estimating Approximation Errors of Elitist Evolutionary Algorithms. CoRR abs/1909.00894 (2019) - [i25]Jun He, Thomas Jansen, Christine Zarges:
Unlimited Budget Analysis of Randomised Search Heuristics. CoRR abs/1909.03342 (2019) - 2018
- [j36]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): 11-30 (2018) - [j35]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: 231-239 (2018) - [c38]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: 24-35 - [i24]Jun He, Tao Xu:
New Methods of Studying Valley Fitness Landscapes. CoRR abs/1805.00092 (2018) - [i23]Wei Huang, Tao Xu, Jun He, Kangshun Li:
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization. CoRR abs/1805.00272 (2018) - [i22]Jun He, Yu Chen, Yuren Zhou:
A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms. CoRR abs/1810.11532 (2018) - [i21]Yu Chen, Jun He:
Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization. CoRR abs/1810.11672 (2018) - 2017
- [j34]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): 714-740 (2017) - [j33]Jun He, Xin Yao:
Average Drift Analysis and Population Scalability. IEEE Trans. Evol. Comput. 21(3): 426-439 (2017) - [c37]Xiaohui Li, Yang Zhou, Hongbin Dong, Jun He:
Online sponsored search auction matching problem with advertiser credibility. ICIS 2017: 509-515 - [c36]Jun He, Yuren Zhou, Guangming Li:
An initial error analysis for evolutionary algorithms. GECCO (Companion) 2017: 317-318 - [c35]Wenjie Liu, Hongbin Dong, Jun He, Hongbo Shi:
A cooperative quantum particle swarm optimization based on multiple groups. SMC 2017: 3213-3218 - 2016
- [j32]Jun He, Guangming Lin:
Average Convergence Rate of Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(2): 316-321 (2016) - [c34]Weichao Chai, Hongbin Dong, Jun He, Wenqian Shang:
A biogeography-based optimization algorithm with multiple migrations. ICIS 2016: 1-8 - [c33]Kangshun Li, Yan Chen, Jun He:
The Research of Solving Inverse Problems of Complex Differential Equations. BIC-TA (2) 2016: 518-523 - [c32]Rui Ding, Hongbin Dong, Jun He, Yuxin Dong:
An improved partheno-genetic algorithm for the multi-constrained problem of curling match arrangement. CEC 2016: 957-964 - [c31]Jinwei Pang, Hongbin Dong, Jun He, Qi Feng:
Mixed mutation strategy evolutionary programming based on Shapley value. CEC 2016: 2805-2812 - [c30]Jun He:
An analytic expression of relative approximation error for a class of evolutionary algorithms. CEC 2016: 4366-4373 - [c29]Tao Xu, Jun He, Changjing Shang, Weiqin Ying:
A New Multi-objective Model for Constrained Optimisation. UKCI 2016: 71-85 - 2015
- [j31]Tobias Friedrich, Jun He, Thomas Jansen, Alberto Moraglio:
Genetic and Evolutionary Computation. Theor. Comput. Sci. 561: 1-2 (2015) - [j30]Jun He, Tianshi Chen, Xin Yao:
On the Easiest and Hardest Fitness Functions. IEEE Trans. Evol. Comput. 19(2): 295-305 (2015) - [c28]Hongbin Dong, Xuyang Teng, Yang Zhou, Jun He:
Feature subset selection using dynamic mixed strategy. CEC 2015: 672-679 - [c27]Jun He, Yong Wang, Yuren Zhou:
Analysis of Solution Quality of a Multiobjective Optimization-Based Evolutionary Algorithm for Knapsack Problem. EvoCOP 2015: 74-85 - [c26]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: 1399-1406 - [e1]Jun He, Thomas Jansen, Gabriela Ochoa, Christine Zarges:
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17 - 20, 2015. ACM 2015, ISBN 978-1-4503-3434-1 [contents] - [i20]Jun He, Yong Wang, Yuren Zhou:
Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem. CoRR abs/1502.03699 (2015) - [i19]Jun He, Guangming Lin:
Average Convergence Rate of Evolutionary Algorithms. CoRR abs/1504.08117 (2015) - [i18]Jun He, Tao Xu:
Multi-objective Differential Evolution with Helper Functions for Constrained Optimization. CoRR abs/1509.09060 (2015) - 2014
- [j29]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): 860-872 (2014) - [c25]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: 141-148 - [i17]Jun He, Feidun He, Hongbin Dong:
A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem. CoRR abs/1404.0868 (2014) - [i16]Jun He, Boris Mitavskiy, Yuren Zhou:
A Theoretical Assessment of Solution Quality in Evolutionary Algorithms for the Knapsack Problem. CoRR abs/1404.3520 (2014) - [i15]Xinsheng Lai, Yuren Zhou, Jun He, Jun Zhang:
Performance Analysis on Evolutionary Algorithms for the Minimum Label Spanning Tree Problem. CoRR abs/1409.1073 (2014) - 2013
- [j28]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): 473-484 (2013) - [c24]Jun He, Wei Hou, Hongbin Dong, Feidun He:
Mixed strategy may outperform pure strategy: An initial study. IEEE Congress on Evolutionary Computation 2013: 562-569 - [c23]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: 2028-2036 - [c22]Boris Mitavskiy, Jun He:
A further generalization of the finite-population geiringer-like theorem for pomdps to allow recombination overarbitrary set covers. FOGA 2013: 133-146 - [i14]Jun He, Wei Hou, Hongbin Dong, Feidun He:
Mixed Strategy May Outperform Pure Strategy. CoRR abs/1303.3154 (2013) - [i13]Boris Mitavskiy, Jun He:
Combining Drift Analysis and Generalized Schema Theory to Design Efficient Hybrid and/or Mixed Strategy EAs. CoRR abs/1305.2490 (2013) - [i12]Boris Mitavskiy, Jun He:
A Further Generalization of the Finite-Population Geiringer-like Theorem for POMDPs to Allow Recombination Over Arbitrary Set Covers. CoRR abs/1305.2498 (2013) - [i11]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 abs/1305.2504 (2013) - [i10]Jun He, Xin Yao:
Average Drift Analysis and Population Scalability. CoRR abs/1308.3080 (2013) - [i9]Boris Mitavskiy, Jun He:
Design and Analysis of an Estimation of Distribution Approximation Algorithm for Single Machine Scheduling in Uncertain Environments. CoRR abs/1312.1273 (2013) - [i8]Jun He, Feidun He, Xin Yao:
A Unified Markov Chain Approach to Analysing Randomised Search Heuristics. CoRR abs/1312.2368 (2013) - 2012
- [c21]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: 1-8 - [c20]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: 218-229 - [c19]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: 174-184 - [i7]Boris Mitavskiy, Jun He:
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm. CoRR abs/1202.1708 (2012) - [i6]Jun He, Tianshi Chen:
A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions. CoRR abs/1203.6286 (2012) - [i5]Simon T. Powers, Jun He:
A hybrid artificial immune system and Self Organising Map for network intrusion detection. CoRR abs/1208.0541 (2012) - 2011
- [j27]Yu Chen, Xiufen Zou, Jun He:
Drift conditions for estimating the first hitting times of evolutionary algorithms. Int. J. Comput. Math. 88(1): 37-50 (2011) - [i4]Jun He, Tianshi Chen:
Population Scalability Analysis of Abstract Population-based Random Search: Spectral Radius. CoRR abs/1108.4531 (2011) - [i3]Jun He, Feidun He, Hongbin Dong:
Pure Strategy or Mixed Strategy? CoRR abs/1112.1517 (2011) - 2010
- [j26]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): 617-633 (2010) - [j25]Tianshi Chen, Jun He, Guoliang Chen, Xin Yao:
Choosing selection pressure for wide-gap problems. Theor. Comput. Sci. 411(6): 926-934 (2010) - [c18]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: 1-6 - [c17]Liang Shen, Jun He:
A mixed strategy for Evolutionary Programming based on local fitness landscape. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j24]Yuren Zhou, Jun He, Qing Nie:
A comparative runtime analysis of heuristic algorithms for satisfiability problems. Artif. Intell. 173(2): 240-257 (2009) - [j23]Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt:
Analyses of Simple Hybrid Algorithms for the Vertex Cover Problem. Evol. Comput. 17(1): 3-19 (2009) - [j22]Jun He, Lishan Kang:
A mixed strategy of combining evolutionary algorithms with multigrid methods. Int. J. Comput. Math. 86(5): 837-849 (2009) - [j21]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): 1006-1029 (2009) - [j20]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): 1092-1106 (2009) - 2008
- [j19]Simon T. Powers, Jun He:
A hybrid artificial immune system and Self Organising Map for network intrusion detection. Inf. Sci. 178(15): 3024-3042 (2008) - [c16]Pietro S. Oliveto, Jun He, Xin Yao:
Analysis of population-based evolutionary algorithms for the vertex cover problem. IEEE Congress on Evolutionary Computation 2008: 1563-1570 - [i2]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 - 2007
- [j18]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): 435-443 (2007) - [j17]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): 281-293 (2007) - [j16]Yuren Zhou, Jun He:
Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids. Inf. Process. Lett. 104(4): 117-122 (2007) - [j15]Hongbin Dong, Jun He, Houkuan Huang, Wei Hou:
Evolutionary programming using a mixed mutation strategy. Inf. Sci. 177(1): 312-327 (2007) - [j14]Yuren Zhou, Jun He:
A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems. IEEE Trans. Evol. Comput. 11(5): 608-619 (2007) - [c15]Pietro S. Oliveto, Jun He, Xin Yao:
Evolutionary algorithms and the Vertex Cover problem. IEEE Congress on Evolutionary Computation 2007: 1870-1877 - [c14]Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt:
On improving approximate solutions by evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 2614-2621 - [c13]Tobias Friedrich, Nils Hebbinghaus, Frank Neumann, Jun He, Carsten Witt:
Approximating covering problems by randomized search heuristics using multi-objective models. GECCO 2007: 797-804 - [c12]Jun He, Yuren Zhou:
A comparison of GAs using penalizing infeasible solutions and repairing infeasible solutions on restrictive capacity knapsack problem. GECCO 2007: 1518 - [c11]Jun He, Yuren Zhou:
A Comparison of GAs Using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Average Capacity Knapsack. ISICA 2007: 100-109 - [c10]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: 73-82 - [i1]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. TR07 (2007) - 2006
- [j13]Xin Yao, Yong Liu, Jin Li, Jun He, Colin Frayn:
Current developments and future directions of bio-inspired computation and implications for ecoinformatics. Ecol. Informatics 1(1): 9-22 (2006) - [c9]Jun He, Xin Yao:
Analysis of Scalable Parallel Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 120-127 - 2005
- [j12]Jun He, Xin Yao, Jin Li:
A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem. IEEE Trans. Syst. Man Cybern. Part C 35(2): 266-271 (2005) - [c8]Jun He, Xin Yao:
A Game-Theoretic Approach for Designing Mixed Mutation Strategies. ICNC (3) 2005: 279-288 - [c7]Yuren Zhou, Jun He:
The Convergence of a Multi-objective Evolutionary Algorithm Based on Grids. ICNC (2) 2005: 1015-1024 - [c6]Hongbin Dong, Jun He, Houkuan Huang, Wei Hou:
A Mixed Mutation Strategy Evolutionary Programming Combined with Species Conservation Technique. MICAI 2005: 593-602 - 2004
- [j11]Jun He, Xin Yao:
Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching. J. Comput. Sci. Technol. 19(4): 450-458 (2004) - [j10]Jun He, Xin Yao:
A study of drift analysis for estimating computation time of evolutionary algorithms. Nat. Comput. 3(1): 21-35 (2004) - [c5]Jun He, Xin Yao, Qingfu Zhang:
To understand one-dimensional continuous fitness landscapes by drift analysis. IEEE Congress on Evolutionary Computation 2004: 1248-1253 - [c4]Xiufen Zou, Minzhong Liu, Lishan Kang, Jun He:
A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics. PPSN 2004: 922-931 - 2003
- [j9]Jun He, Xin Yao:
Towards an analytic framework for analysing the computation time of evolutionary algorithms. Artif. Intell. 145(1-2): 59-97 (2003) - [c3]Yuren Zhou, Yuanxing Li, Jun He, Lishan Kang:
Multi-objective and MGG evolutionary algorithm for constrained optimization. IEEE Congress on Evolutionary Computation 2003: 1-5 - [c2]Jun He, Xin Yao:
An analysis of evolutionary algorithms for finding approximation solutions to hard optimisation problems. IEEE Congress on Evolutionary Computation 2003: 2004-2010 - 2002
- [j8]Jun He, Xin Yao:
Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85]. Artif. Intell. 140(1/2): 245-248 (2002) - [j7]Jun He, Xin Yao:
From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms. IEEE Trans. Evol. Comput. 6(5): 495-511 (2002) - 2001
- [j6]Jun He, Xin Yao:
Drift analysis and average time complexity of evolutionary algorithms. Artif. Intell. 127(1): 57-85 (2001) - [j5]Lishan Kang, Yuanxiang Li, Zhengjun Pan, Jun He, David J. Evans:
Massively parallel algorithms from physics and biology. Int. J. Comput. Math. 77(2): 201-250 (2001) - [j4]Jun He, Xinghuo Yu:
Conditions for the convergence of evolutionary algorithms. J. Syst. Archit. 47(7): 601-612 (2001) - 2000
- [j3]Jun He, Jiyou Xu, Xin Yao:
Solving equations by hybrid evolutionary computation techniques. IEEE Trans. Evol. Comput. 4(3): 295-304 (2000)
1990 – 1999
- 1999
- [j2]Jun He, Lishan Kang:
On the Convergence Rates of Genetic Algorithms. Theor. Comput. Sci. 229(1): 23-39 (1999) - 1995
- [j1]Jun He, Lishan Kang, Yong-Jun Chen:
Convergence of Genetic Evolution Algorithms for Optimization. Parallel Algorithms Appl. 5(1-2): 37-56 (1995) - 1994
- [c1]Zhengjun Pan, Lishan Kang, Jun He, Yong Liu:
An Evolutionary Approach to Adaptive Model-Building. Evo Workshops 1994: 236-244
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-08-13 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
