Jingpeng Li

Orcid: 0000-0002-6758-0084

Affiliations:
  • University of Stirling, UK
  • University of Leeds, UK (PhD 2002)


According to our database1, Jingpeng Li authored at least 59 papers between 2001 and 2023.

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Timeline

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Bibliography

2023
Electric vehicle scheduling based on stochastic trip time and energy consumption.
Comput. Ind. Eng., March, 2023

2021
Collective Strategies With a Master-Slave Mechanism Dominate in Spatial-Iterated Prisoner's Dilemma.
Int. J. Swarm Intell. Res., 2021

A hybrid medical text classification framework: Integrating attentive rule construction and neural network.
Neurocomputing, 2021

Robust Visual Saliency Optimization Based on Bidirectional Markov Chains.
Cogn. Comput., 2021

A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs.
Appl. Intell., 2021

2020
A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices.
Soft Comput., 2020

A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images.
PeerJ Comput. Sci., 2020

A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks.
Neurocomputing, 2020

Exploring Personalised Autonomous Vehicles to Influence User Trust.
Cogn. Comput., 2020

Design and evaluation of a biologically-inspired cloud elasticity framework.
Clust. Comput., 2020

Automating the ABCD Rule for Melanoma Detection: A Survey.
IEEE Access, 2020

Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation.
Proceedings of the Intelligent Computing, 2020

Surrogate-Assisted Genetic Algorithms for the Travelling Salesman Problem and Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images.
Proceedings of the International Joint Conference on Neural Networks, 2019

A hybrid metaheuristic approach to a real world employee scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach.
Int. J. High Perform. Comput. Netw., 2018

Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma.
CoRR, 2018

A control theoretical view of cloud elasticity: taxonomy, survey and challenges.
Clust. Comput., 2018

Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

2017
Improved binary similarity measures for software modularization.
Frontiers Inf. Technol. Electron. Eng., 2017

2016
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning.
Cogn. Comput., 2016

Genetic optimization of fuzzy membership functions for cloud resource provisioning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Variable Neighbourhood Search: A case study for a highly-constrained workforce scheduling problem.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Novel Fully Automated Liver and HCC Tumor Segmentation System Using Morphological Operations.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015
Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling.
Eur. J. Oper. Res., 2015

A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Multi-objective Simulated Annealing for Bus Driver Rostering.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014
Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

2013
Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming.
Proceedings of the Genetic Programming - 16th European Conference, 2013

An ensemble based Genetic Programming system to predict English football premier league games.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

2012
A pattern recognition based intelligent search method and two assignment problem case studies.
Appl. Intell., 2012

A Pareto-based search methodology for multi-objective nurse scheduling.
Ann. Oper. Res., 2012

Evolutionary Ruin And Stochastic Recreate: A Case Study On The Exam Timetabling Problem.
Proceedings of the 26th European Conference on Modelling and Simulation, 2012

2011
Integrating neural networks and logistic regression to underpin hyper-heuristic search.
Knowl. Based Syst., 2011

Evolutionary Squeaky Wheel Optimization: A New Framework for Analysis.
Evol. Comput., 2011

2010
A Hybrid Evolutionary Approach to the Nurse Rostering Problem.
IEEE Trans. Evol. Comput., 2010

A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems.
Eur. J. Oper. Res., 2010

2009
An Evolutionary Squeaky Wheel Optimization Approach to Personnel Scheduling.
IEEE Trans. Evol. Comput., 2009

A hybrid metaheuristic case-based reasoning system for nurse rostering.
J. Sched., 2009

A Component-Based Heuristic Search Method with Evolutionary Eliminations for Hospital Personnel Scheduling.
INFORMS J. Comput., 2009

An Evolutionary Squeaky Wheel Optimisation Approach to Personnel Scheduling
CoRR, 2009

A Component Based Heuristic Search Method with Evolutionary Eliminations
CoRR, 2009

2008
Explicit Learning: an Effort towards Human Scheduling Algorithms
CoRR, 2008

Bayesian Optimisation Algorithm for Nurse Scheduling
CoRR, 2008

A Component Based Heuristic Search method with Adaptive Perturbations for Hospital Personnel Scheduling
CoRR, 2008

A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem
CoRR, 2008

2007
An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering.
J. Oper. Res. Soc., 2007

An estimation of distribution algorithm for nurse scheduling.
Ann. Oper. Res., 2007

2006
BOA for Nurse Scheduling.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Improved Squeaky Wheel Optimisation for Driver Scheduling.
Proceedings of the Parallel Problem Solving from Nature, 2006

2005
A Self-Adjusting Algorithm for Driver Scheduling.
J. Heuristics, 2005

2004
A Meta-heuristic with Orthogonal Experiment for the Set Covering Problem.
J. Math. Model. Algorithms, 2004

The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
A fuzzy genetic algorithm for driver scheduling.
Eur. J. Oper. Res., 2003

A Bayesian optimization algorithm for the nurse scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Fuzzy evolutionary approaches for bus and rail driver scheduling.
PhD thesis, 2002

A fuzzy evolutionary approach with Taguchi parameter setting for the set covering problem.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
A fuzzy simulated evolution algorithm for the driver scheduling problem.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001


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