Mark Johnston

111 papers A 13B 32Misc 6Journal 26Unranked 33
YearRankTypeTitle / Venue / Authors
2024 — conf
Cornucopia Reloaded: Load Barriers for CHERI Heap Temporal Safety.
ASPLOS (2)
Nathaniel Wesley Filardo, Brett F. Gutstein, Jonathan Woodruff, Jessica Clarke, Peter Rugg, Brooks Davis, Mark Johnston, Robert M. Norton, David Chisnall, Simon W. Moore, Peter G. Neumann, Robert N. M. Watson
2019 J jnl
Bayesian genetic programming for edge detection.
Soft Comput.
Wenlong Fu, Mengjie Zhang, Mark Johnston
2018 J jnl
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes].
IEEE Comput. Intell. Mag.
Wenlong Fu, Bing Xue, Mengjie Zhang, Mark Johnston
2017 J jnl
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.
IEEE Trans. Evol. Comput.
Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, Mengjie Zhang
2017 J jnl
Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors.
IEEE Trans. Evol. Comput.
Harith Al-Sahaf, Mengjie Zhang, Ausama Al-Sahaf, Mark Johnston
2016 J jnl
Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances.
Evol. Comput.
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2016 B conf
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
EuroGP
John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang
2016 J jnl
Genetic programming for edge detection: a Gaussian-based approach.
Soft Comput.
Wenlong Fu, Mark Johnston, Mengjie Zhang
2015 — conf
A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling.
GECCO (Companion)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2015 J jnl
Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling.
IEEE Trans. Cybern.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2015 J jnl
Distribution-based invariant feature construction using genetic programming for edge detection.
Soft Comput.
Wenlong Fu, Mark Johnston, Mengjie Zhang
2015 A conf
Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction.
GECCO
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2015 B conf
Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.
EuroGP
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2015 Misc conf
Genetic Programming for Extracting Edge Features Using Two Blocks.
AusDM
Wenlong Fu, Mengjie Zhang, Mark Johnston
2015 B conf
Hyper-heuristic Operator Selection and Acceptance Criteria.
EvoCOP
Richard J. Marshall, Mark Johnston, Mengjie Zhang
2015 B conf
Image descriptor: A genetic programming approach to multiclass texture classification.
CEC
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma
2015 J jnl
Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems.
Swarm Evol. Comput.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2015 J jnl
Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems.
Soft Comput.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2015 B conf
Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling.
EvoCOP
Rachel Hunt, Mark Johnston, Mengjie Zhang
2014 — conf
A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation.
SEAL
Richard J. Marshall, Mark Johnston, Mengjie Zhang
2014 B conf
A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling.
IEEE Congress on Evolutionary Computation
Su Nguyen, Mengjie Zhang, Mark Johnston
2014 J jnl
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.
IEEE Trans. Evol. Comput.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014 — conf
Automatic Resolution Selection for Edge Detection Using Genetic Programming.
SEAL
Wenlong Fu, Mark Johnston, Mengjie Zhang
2014 J jnl
Deception, blindness and disorientation in particle swarm optimization applied to noisy problems.
Swarm Intell.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2014 — conf
Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem.
SEAL
Richard J. Marshall, Mark Johnston, Mengjie Zhang
2014 B conf
Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming.
EuroGP
Su Nguyen, Mengjie Zhang, Mark Johnston
2014 — conf
Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming.
SEAL
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2014 A conf
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming.
GECCO
Rachel Hunt, Mark Johnston, Mengjie Zhang
2014 B conf
Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming.
IEEE Congress on Evolutionary Computation
Rachel Hunt, Mark Johnston, Mengjie Zhang
2014 Misc conf
Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification.
IVCNZ
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2014 J jnl
Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.
Evol. Comput.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014 — conf
Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances.
SEAL
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2014 — conf
Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem.
GECCO (Companion)
Richard J. Marshall, Mark Johnston, Mengjie Zhang
2014 B conf
Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?
EvoApplications
Wenlong Fu, Mark Johnston, Mengjie Zhang
2014 J jnl
Low-Level Feature Extraction for Edge Detection Using Genetic Programming.
IEEE Trans. Cybern.
Wenlong Fu, Mark Johnston, Mengjie Zhang
2014 J jnl
Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems.
Swarm Evol. Comput.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2014 J jnl
Prior analysis and scheduling of the 2011 Rugby Union ITM Cup in New Zealand.
J. Oper. Res. Soc.
Mark Johnston, Mike Wright
2014 J jnl
Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.
IEEE Trans. Evol. Comput.
Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
2014 — conf
Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling.
SEAL
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014 B conf
Unsupervised learning for edge detection using Genetic Programming.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 J jnl
A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.
IEEE Trans. Evol. Comput.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013 — conf
A One-Shot Learning Approach to Image Classification Using Genetic Programming.
Australasian Conference on Artificial Intelligence
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2013 J jnl
A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images.
Inf. Sci.
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2013 B conf
Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming.
EvoApplications
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 Misc conf
Binary image classification using genetic programming based on local binary patterns.
IVCNZ
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2013 — conf
Comparing ensemble learning approaches in genetic programming for classification with unbalanced data.
GECCO (Companion)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2013 — ch.
Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach.
Automated Scheduling and Planning
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013 J jnl
Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Evol. Comput.
Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
2013 — conf
Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming.
Australasian Conference on Artificial Intelligence
John Park, Su Nguyen, Mark Johnston, Mengjie Zhang
2013 Misc conf
Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation.
IVCNZ
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 B conf
Genetic Programming for Automatic Construction of Variant Features in Edge Detection.
EvoApplications
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 A conf
Genetic programming for edge detection using multivariate density.
GECCO
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 B conf
Genetic programming for order acceptance and scheduling.
IEEE Congress on Evolutionary Computation
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2013 J jnl
Hybrid evolutionary computation methods for quay crane scheduling problems.
Comput. Oper. Res.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013 Misc conf
Investigation of low-level edge feature extraction using three blocks.
IVCNZ
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 B conf
Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.
EuroGP
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013 A conf
Optimal computing budget allocation in particle swarm optimization.
GECCO
Juan Rada-Vilela, Mengjie Zhang, Mark Johnston
2013 B conf
Resampling in Particle Swarm Optimization.
IEEE Congress on Evolutionary Computation
Juan Rada-Vilela, Mengjie Zhang, Mark Johnston
2013 B conf
Triangular-distribution-based feature construction using Genetic Programming for edge detection.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 B conf
A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems.
IEEE Congress on Evolutionary Computation
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2012 — conf
A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images.
GECCO (Companion)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2012 — conf
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection.
Australasian Conference on Artificial Intelligence
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 — conf
Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming.
SEAL
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2012 J jnl
Cloud Computing in Local Government: From the Perspective of Four London Borough Councils.
Int. J. Cloud Appl. Comput.
Jeffrey Chang, Mark Johnston
2012 J jnl
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Syst. Man Cybern. Part B
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2012 B conf
Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images.
IEEE Congress on Evolutionary Computation
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2012 B conf
Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming.
EuroGP
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2012 — conf
Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection.
SEAL
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 — conf
Genetic programming for edge detection based on figure of merit.
GECCO (Companion)
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 A conf
Genetic programming for edge detection using blocks to extract features.
GECCO
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 B conf
Genetic programming for edge detection via balancing individual training images.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 — conf
Local Search in Parallel Linear Genetic Programming for Multiclass Classification.
Australasian Conference on Artificial Intelligence
Aaron Scoble, Mark Johnston, Mengjie Zhang
2012 Misc conf
Multi-frequency transformation for edge detection.
IVCNZ
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 B conf
Soft edge maps from edge detectors evolved by genetic programming.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 — conf
A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation.
EvoApplications (1)
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 B conf
A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription.
RECOMB
Sooraj KuttyKrishnan, Jeffrey Sabina, Laura Langton, Mark Johnston, Michael R. Brent
2011 A conf
A genetic programming based hyper-heuristic approach for combinatorial optimisation.
GECCO
Su Nguyen, Mengjie Zhang, Mark Johnston
2011 A conf
Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation.
GECCO
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2011 B conf
Edge detection using constrained discrete particle swarm optimisation in noisy images.
IEEE Congress on Evolutionary Computation
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2011 — conf
Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming.
Australasian Conference on Artificial Intelligence
Aaron Scoble, Mark Johnston, Mengjie Zhang
2011 — conf
Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2011 A conf
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data.
GECCO
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2011 — conf
Genetic Programming for Edge Detection Based on Accuracy of Each Training Image.
Australasian Conference on Artificial Intelligence
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 B conf
Genetic programming for edge detection: A global approach.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 A conf
Hybrid particle swarm optimisation based on history information sharing.
GECCO
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 — conf
Improving Robustness of Multiple-Objective Genetic Programming for Object Detection.
Australasian Conference on Artificial Intelligence
Rachel Hunt, Mark Johnston, Mengjie Zhang
2011 — conf
Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images.
Australasian Conference on Artificial Intelligence
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2011 J jnl
Particle swarm optimisation based AdaBoost for object detection.
Soft Comput.
Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang
2010 — conf
A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2010 B conf
A Relaxed Approach to Simplification in Genetic Programming.
EuroGP
Mark Johnston, Thomas Liddle, Mengjie Zhang
2010 A conf
AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data.
GECCO
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2010 B conf
Analysis of Building Blocks with Numerical Simplification in Genetic Programming.
EuroGP
David Kinzett, Mengjie Zhang, Mark Johnston
2010 — conf
Edge and Corner Extraction Using Particle Swarm Optimisation.
Australasian Conference on Artificial Intelligence
Mahdi Setayesh, Mark Johnston, Mengjie Zhang
2010 B conf
Genetic Programming for Classification with Unbalanced Data.
EuroGP
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2010 — conf
Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search.
Australasian Conference on Artificial Intelligence
Wenlong Fu, Mark Johnston, Mengjie Zhang
2010 B conf
Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs.
IEEE Congress on Evolutionary Computation
David Kinzett, Mengjie Zhang, Mark Johnston
2010 B conf
Multi-Objective Genetic Programming for object detection.
IEEE Congress on Evolutionary Computation
Thomas Liddle, Mark Johnston, Mengjie Zhang
2010 — conf
Sampling Methods in Genetic Programming for Classification with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Rachel Hunt, Mark Johnston, Will N. Browne, Mengjie Zhang
2009 B conf
Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data.
IEEE Congress on Evolutionary Computation
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2009 A conf
How online simplification affects building blocks in genetic programming.
GECCO
David Kinzett, Mark Johnston, Mengjie Zhang
2009 — conf
Multi-Objective Genetic Programming for Classification with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2009 J jnl
Numerical simplification for bloat control and analysis of building blocks in genetic programming.
Evol. Intell.
David Kinzett, Mark Johnston, Mengjie Zhang
2009 B conf
Particle Swarm Optimization based Adaboost for face detection.
IEEE Congress on Evolutionary Computation
Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston
2009 A conf
Particle swarm optimization based multi-prototype ensembles.
GECCO
Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang
2008 — conf
A PSO Based Adaboost Approach to Object Detection.
SEAL
Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston
2008 A conf
An analysis of multi-sampled issue and no-replacement tournament selection.
GECCO
Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston
2008 B conf
Is the not-sampled issue in tournament selection critical?
IEEE Congress on Evolutionary Computation
Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston
2008 — conf
Using Numerical Simplification to Control Bloat in Genetic Programming.
SEAL
David Kinzett, Mengjie Zhang, Mark Johnston
2007 — conf
Feature Construction and Dimension Reduction Using Genetic Programming.
Australian Conference on Artificial Intelligence
Kourosh Neshatian, Mengjie Zhang, Mark Johnston
1999 — conf
Application of Domain Testing to Reliability Amplification.
Applied Informatics
Mark Johnston
1983 J jnl
The nature of reflexive paradoxes. I.
Notre Dame J. Formal Log.
Leonard Goddard, Mark Johnston