Jun He

Orcid: 0000-0002-5616-4691

Affiliations:
  • Nottingham Trent University, School of Science and Technology, UK
  • Aberystwyth University, UK
  • University of Birmingham, UK (former)


According to our database1, Jun He authored at least 112 papers between 1994 and 2023.

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Bibliography

2023
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels.
CoRR, 2023

Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms.
CoRR, 2023

Coupled Assignment Strategy of Agents in Many Targets Environment.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization.
IEEE Trans. Cybern., 2022

A Novel Approach to Identifying DDoS Traffic in the Smart Home Network via Exploratory Data Analysis.
AII, 2022

2021
Error analysis of elitist randomized search heuristics.
Swarm Evol. Comput., 2021

Average convergence rate of evolutionary algorithms in continuous optimization.
Inf. Sci., 2021

Influence of the Binomial Crossover on Performance of Randomized Search Heuristics.
CoRR, 2021

Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets.
Proceedings of the Agents and Multi-Agent Systems: Technologies and Applications 2021, 2021

Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends.
AII, 2021

2020
Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study.
CoRR, 2020

Human activity of daily living recognition in presence of an animal pet using thermal sensor array.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Heat-Map Based Occupancy Estimation Using Adaptive Boosting.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
A Scalar Projection and Angle-Based Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Cybern., 2019

Multiobjective differential evolution enhanced with principle component analysis for constrained optimization.
Swarm Evol. Comput., 2019

Hybrid evolutionary programming using adaptive Lévy mutation and modified Nelder-Mead method.
Soft Comput., 2019

A New Denoising Method for UHF PD Signals Using Adaptive VMD and SSA-Based Shrinkage Method.
Sensors, 2019

A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks.
Evol. Comput., 2019

Unlimited Budget Analysis of Randomised Search Heuristics.
CoRR, 2019

A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points.
Appl. Soft Comput., 2019

Coevolutionary systems and PageRank.
Artif. Intell., 2019

A Multi-population Helper and Equivalent Objective Differential Evolution Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Helper and equivalent objective different evolution for constrained optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Unlimited budget analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Estimating Approximation Errors of Elitist Evolutionary Algorithms.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
Improved gene expression programming to solve the inverse problem for ordinary differential equations.
Swarm Evol. Comput., 2018

A Matching Approach to Factor Scores Based on Online Sponsored Search Auction.
Int. J. Softw. Innov., 2018

Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization.
CoRR, 2018

A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms.
CoRR, 2018

Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization.
CoRR, 2018

New Methods of Studying Valley Fitness Landscapes.
CoRR, 2018

U-NSGA-III: An Improved Evolutionary Many-Objective Optimization Algorithm.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017
Average Drift Analysis and Population Scalability.
IEEE Trans. Evol. Comput., 2017

On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation.
Algorithmica, 2017

A cooperative quantum particle swarm optimization based on multiple groups.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

An initial error analysis for evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Online sponsored search auction matching problem with advertiser credibility.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2016
Average Convergence Rate of Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2016

A New Multi-objective Model for Constrained Optimisation.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Mixed mutation strategy evolutionary programming based on Shapley value.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An analytic expression of relative approximation error for a class of evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An improved partheno-genetic algorithm for the multi-constrained problem of curling match arrangement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The Research of Solving Inverse Problems of Complex Differential Equations.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

A biogeography-based optimization algorithm with multiple migrations.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

2015
On the Easiest and Hardest Fitness Functions.
IEEE Trans. Evol. Comput., 2015

Genetic and Evolutionary Computation.
Theor. Comput. Sci., 2015

Multi-objective Differential Evolution with Helper Functions for Constrained Optimization.
CoRR, 2015

On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Analysis of Solution Quality of a Multiobjective Optimization-Based Evolutionary Algorithm for Knapsack Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

Feature subset selection using dynamic mixed strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Performance Analysis of Evolutionary Algorithms for the Minimum Label Spanning Tree Problem.
IEEE Trans. Evol. Comput., 2014

A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem.
CoRR, 2014

A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning.
Nat. Comput., 2013

A Further Generalization of the Finite-Population Geiringer-like Theorem for POMDPs to Allow Recombination Over Arbitrary Set Covers.
CoRR, 2013

Mixed Strategy May Outperform Pure Strategy
CoRR, 2013

Design and Analysis of an Estimation of Distribution Approximation Algorithm for Single Machine Scheduling in Uncertain Environments.
CoRR, 2013

A Unified Markov Chain Approach to Analysing Randomised Search Heuristics.
CoRR, 2013

A further generalization of the finite-population geiringer-like theorem for pomdps to allow recombination overarbitrary set covers.
Proceedings of the Foundations of Genetic Algorithms XII, 2013

Combining drift analysis and generalized schema theory to design efficient hybrid and/or mixed strategy EAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Mixed strategy may outperform pure strategy: An initial study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions
CoRR, 2012

A Mixed Strategy Multi-Objective Coevolutionary Algorithm Based on Single-Point Mutation and Particle Swarm Optimization.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Pure Strategy or Mixed Strategy? - An Initial Comparison of Their Asymptotic Convergence Rate and Asymptotic Hitting Time.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

A polynomial time approximation scheme for a single machine scheduling problem using a hybrid evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Drift conditions for estimating the first hitting times of evolutionary algorithms.
Int. J. Comput. Math., 2011

Pure Strategy or Mixed Strategy?
CoRR, 2011

Population Scalability Analysis of Abstract Population-based Random Search: Spectral Radius
CoRR, 2011

2010
Choosing selection pressure for wide-gap problems.
Theor. Comput. Sci., 2010

Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models.
Evol. Comput., 2010

A mixed strategy for Evolutionary Programming based on local fitness landscape.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

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

2009
A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Analysis of the (1+1) -EA for Finding Approximate Solutions to Vertex Cover Problems.
IEEE Trans. Evol. Comput., 2009

A mixed strategy of combining evolutionary algorithms with multigrid methods.
Int. J. Comput. Math., 2009

Analyses of Simple Hybrid Algorithms for the Vertex Cover Problem.
Evol. Comput., 2009

A comparative runtime analysis of heuristic algorithms for satisfiability problems.
Artif. Intell., 2009

2008
A hybrid artificial immune system and Self Organising Map for network intrusion detection.
Inf. Sci., 2008

A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem.
Proceedings of the Theory of Evolutionary Algorithms, 27.01. - 01.02.2008, 2008

Analysis of population-based evolutionary algorithms for the vertex cover problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems.
IEEE Trans. Evol. Comput., 2007

Evolutionary programming using a mixed mutation strategy.
Inf. Sci., 2007

Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids.
Inf. Process. Lett., 2007

Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results.
Int. J. Autom. Comput., 2007

A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability.
Evol. Comput., 2007

On the Running Time Analysis of the (1+1) Evolutionary Algorithm for the Subset Sum Problem.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

A Comparison of GAs Using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Average Capacity Knapsack.
Proceedings of the Advances in Computation and Intelligence, 2007

A comparison of GAs using penalizing infeasible solutions and repairing infeasible solutions on restrictive capacity knapsack problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Evolutionary algorithms and the Vertex Cover problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

On improving approximate solutions by evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Current developments and future directions of bio-inspired computation and implications for ecoinformatics.
Ecol. Informatics, 2006

Analysis of Scalable Parallel Evolutionary Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem.
IEEE Trans. Syst. Man Cybern. Part C, 2005

A Mixed Mutation Strategy Evolutionary Programming Combined with Species Conservation Technique.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

The Convergence of a Multi-objective Evolutionary Algorithm Based on Grids.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Game-Theoretic Approach for Designing Mixed Mutation Strategies.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
A study of drift analysis for estimating computation time of evolutionary algorithms.
Nat. Comput., 2004

Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching.
J. Comput. Sci. Technol., 2004

To understand one-dimensional continuous fitness landscapes by drift analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Towards an analytic framework for analysing the computation time of evolutionary algorithms.
Artif. Intell., 2003

Multi-objective and MGG evolutionary algorithm for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

An analysis of evolutionary algorithms for finding approximation solutions to hard optimisation problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms.
IEEE Trans. Evol. Comput., 2002

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

2001
Conditions for the convergence of evolutionary algorithms.
J. Syst. Archit., 2001

Massively parallel algorithms from physics and biology.
Int. J. Comput. Math., 2001

Drift analysis and average time complexity of evolutionary algorithms.
Artif. Intell., 2001

2000
Solving equations by hybrid evolutionary computation techniques.
IEEE Trans. Evol. Comput., 2000

1999
On the Convergence Rates of Genetic Algorithms.
Theor. Comput. Sci., 1999

1995
Convergence of Genetic Evolution Algorithms for Optimization.
Parallel Algorithms Appl., 1995

1994
An Evolutionary Approach to Adaptive Model-Building.
Proceedings of the Process in Evolutionary Computation, 1994


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