The nature of reflexive paradoxes. I. - Leonard Goddard; Mark Johnston (Notre Dame J. Formal Log., 1983)

Application of Domain Testing to Reliability Amplification. - Mark Johnston (Applied Informatics, 1999)

Feature Construction and Dimension Reduction Using Genetic Programming. - Kourosh Neshatian; Mengjie Zhang 001; Mark Johnston (Australian Conference on Artificial Intelligence, 2007)

Is the not-sampled issue in tournament selection critical? - Huayang Xie; Mengjie Zhang 001; Peter Andreae; Mark Johnston (IEEE Congress on Evolutionary Computation, 2008)

An analysis of multi-sampled issue and no-replacement tournament selection. - Huayang Xie; Mengjie Zhang 001; Peter Andreae; Mark Johnston (GECCO, 2008)

Using Numerical Simplification to Control Bloat in Genetic Programming. - David Kinzett; Mengjie Zhang 001; Mark Johnston (SEAL, 2008)

A PSO Based Adaboost Approach to Object Detection. - Ammar W. Mohemmed; Mengjie Zhang 001; Mark Johnston (SEAL, 2008)

Multi-Objective Genetic Programming for Classification with Unbalanced Data. - Urvesh Bhowan; Mengjie Zhang 001; Mark Johnston (Australasian Conference on Artificial Intelligence, 2009)

Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data. - Urvesh Bhowan; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2009)

Particle Swarm Optimization based Adaboost for face detection. - Ammar W. Mohemmed; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2009)

How online simplification affects building blocks in genetic programming. - David Kinzett; Mark Johnston; Mengjie Zhang 001 (GECCO, 2009)

Particle swarm optimization based multi-prototype ensembles. - Ammar W. Mohemmed; Mark Johnston; Mengjie Zhang 001 (GECCO, 2009)

Numerical simplification for bloat control and analysis of building blocks in genetic programming. - David Kinzett; Mark Johnston; Mengjie Zhang 001 (Evol. Intell., 2009)

A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data. - Urvesh Bhowan; Mengjie Zhang 001; Mark Johnston (Australasian Conference on Artificial Intelligence, 2010)

Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2010)

Sampling Methods in Genetic Programming for Classification with Unbalanced Data. - Rachel Hunt 001; Mark Johnston; Will N. Browne; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2010)

Edge and Corner Extraction Using Particle Swarm Optimisation. - Mahdi Setayesh; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2010)

Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs. - David Kinzett; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2010)

Multi-Objective Genetic Programming for object detection. - Thomas Liddle; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2010)

Genetic Programming for Classification with Unbalanced Data. - Urvesh Bhowan; Mengjie Zhang 001; Mark Johnston (EuroGP, 2010)

A Relaxed Approach to Simplification in Genetic Programming. - Mark Johnston; Thomas Liddle; Mengjie Zhang 001 (EuroGP, 2010)

Analysis of Building Blocks with Numerical Simplification in Genetic Programming. - David Kinzett; Mengjie Zhang 001; Mark Johnston (EuroGP, 2010)

AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data. - Urvesh Bhowan; Mengjie Zhang 001; Mark Johnston (GECCO, 2010)

Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data. - Urvesh Bhowan; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2011)

Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2011)

Improving Robustness of Multiple-Objective Genetic Programming for Object Detection. - Rachel Hunt 001; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2011)

Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming. - Aaron Scoble; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2011)

Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images. - Mahdi Setayesh; Mengjie Zhang 001; Mark Johnston (Australasian Conference on Artificial Intelligence, 2011)

Genetic programming for edge detection: A global approach. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2011)

Edge detection using constrained discrete particle swarm optimisation in noisy images. - Mahdi Setayesh; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2011)

A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (EvoApplications (1), 2011)

Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. - Urvesh Bhowan; Mark Johnston; Mengjie Zhang 001 (GECCO, 2011)

Hybrid particle swarm optimisation based on history information sharing. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (GECCO, 2011)

A genetic programming based hyper-heuristic approach for combinatorial optimisation. - Su Nguyen; Mengjie Zhang 001; Mark Johnston (GECCO, 2011)

Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation. - Mahdi Setayesh; Mengjie Zhang 001; Mark Johnston (GECCO, 2011)

A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription. - Sooraj KuttyKrishnan; Jeffrey Sabina; Laura Langton; Mark Johnston; Michael R. Brent (RECOMB, 2011)

Particle swarm optimisation based AdaBoost for object detection. - Ammar W. Mohemmed; Mark Johnston; Mengjie Zhang 001 (Soft Comput., 2011)

Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2012)

Local Search in Parallel Linear Genetic Programming for Multiclass Classification. - Aaron Scoble; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2012)

Genetic programming for edge detection via balancing individual training images. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2012)

Soft edge maps from edge detectors evolved by genetic programming. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2012)

A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2012)

Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images. - Mahdi Setayesh; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2012)

Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (EuroGP, 2012)

Genetic programming for edge detection using blocks to extract features. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (GECCO, 2012)

Genetic programming for edge detection based on figure of merit. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (GECCO (Companion), 2012)

A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images. - Mahdi Setayesh; Mengjie Zhang 001; Mark Johnston (GECCO (Companion), 2012)

Multi-frequency transformation for edge detection. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IVCNZ, 2012)

Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (SEAL, 2012)

Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (SEAL, 2012)

Cloud Computing in Local Government: From the Perspective of Four London Borough Councils. - Jeffrey Chang; Mark Johnston (Int. J. Cloud Appl. Comput., 2012)

Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data. - Urvesh Bhowan; Mark Johnston; Mengjie Zhang 001 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

A One-Shot Learning Approach to Image Classification Using Genetic Programming. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston (Australasian Conference on Artificial Intelligence, 2013)

Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming. - John Park; Su Nguyen; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2013)

Triangular-distribution-based feature construction using Genetic Programming for edge detection. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2013)

Genetic programming for order acceptance and scheduling. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2013)

Resampling in Particle Swarm Optimization. - Juan Rada-Vilela; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2013)

Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (EuroGP, 2013)

Genetic Programming for Automatic Construction of Variant Features in Edge Detection. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (EvoApplications, 2013)

Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (EvoApplications, 2013)

Comparing ensemble learning approaches in genetic programming for classification with unbalanced data. - Urvesh Bhowan; Mark Johnston; Mengjie Zhang 001 (GECCO (Companion), 2013)

Genetic programming for edge detection using multivariate density. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (GECCO, 2013)

Optimal computing budget allocation in particle swarm optimization. - Juan Rada-Vilela; Mengjie Zhang 001; Mark Johnston (GECCO, 2013)

Binary image classification using genetic programming based on local binary patterns. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston (IVCNZ, 2013)

Investigation of low-level edge feature extraction using three blocks. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IVCNZ, 2013)

Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IVCNZ, 2013)

Hybrid evolutionary computation methods for quay crane scheduling problems. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Comput. Oper. Res., 2013)

A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images. - Mahdi Setayesh; Mengjie Zhang 001; Mark Johnston (Inf. Sci., 2013)

Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data. - Urvesh Bhowan; Mark Johnston; Mengjie Zhang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2013)

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Evol. Comput., 2013)

Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Automated Scheduling and Planning, 2013)

Unsupervised learning for edge detection using Genetic Programming. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming. - Rachel Hunt 001; Mark Johnston; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2014)

Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston (EuroGP, 2014)

Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming? - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (EvoApplications, 2014)

Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. - Rachel Hunt 001; Mark Johnston; Mengjie Zhang 001 (GECCO, 2014)

Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem. - Richard J. Marshall; Mark Johnston; Mengjie Zhang 001 (GECCO (Companion), 2014)

Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston (IVCNZ, 2014)

Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston (SEAL, 2014)

Automatic Resolution Selection for Edge Detection Using Genetic Programming. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (SEAL, 2014)

A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation. - Richard J. Marshall; Mark Johnston; Mengjie Zhang 001 (SEAL, 2014)

Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem. - Richard J. Marshall; Mark Johnston; Mengjie Zhang 001 (SEAL, 2014)

Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (SEAL, 2014)

Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (SEAL, 2014)

Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Evol. Comput., 2014)

Prior analysis and scheduling of the 2011 Rugby Union ITM Cup in New Zealand. - Mark Johnston; Mike Wright (J. Oper. Res. Soc., 2014)

Deception, blindness and disorientation in particle swarm optimization applied to noisy problems. - Juan Rada-Vilela; Mark Johnston; Mengjie Zhang 001 (Swarm Intell., 2014)

Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems. - Juan Rada-Vilela; Mark Johnston; Mengjie Zhang 001 (Swarm Evol. Comput., 2014)

Low-Level Feature Extraction for Edge Detection Using Genetic Programming. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (IEEE Trans. Cybern., 2014)

Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data. - Urvesh Bhowan; Mark Johnston; Mengjie Zhang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2014)

Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Evol. Comput., 2014)

Genetic Programming for Extracting Edge Features Using Two Blocks. - Wenlong Fu; Mengjie Zhang 001; Mark Johnston (AusDM, 2015)

Image descriptor: A genetic programming approach to multiclass texture classification. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston; Brijesh K. Verma (CEC, 2015)

Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (EuroGP, 2015)

Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling. - Rachel Hunt 001; Mark Johnston; Mengjie Zhang 001 (EvoCOP, 2015)

Hyper-heuristic Operator Selection and Acceptance Criteria. - Richard J. Marshall; Mark Johnston; Mengjie Zhang 001 (EvoCOP, 2015)

Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston (GECCO, 2015)

A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (GECCO (Companion), 2015)

Distribution-based invariant feature construction using genetic programming for edge detection. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (Soft Comput., 2015)

Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems. - Juan Rada-Vilela; Mark Johnston; Mengjie Zhang 001 (Soft Comput., 2015)

Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems. - Juan Rada-Vilela; Mark Johnston; Mengjie Zhang 001 (Swarm Evol. Comput., 2015)

Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Cybern., 2015)

Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mark Johnston; Mengjie Zhang 001 (EuroGP, 2016)

Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston (Evol. Comput., 2016)

Genetic programming for edge detection: a Gaussian-based approach. - Wenlong Fu; Mark Johnston; Mengjie Zhang 001 (Soft Comput., 2016)

Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. - Harith Al-Sahaf; Ausama Al-Sahaf; Bing Xue 001; Mark Johnston; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2017)

Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors. - Harith Al-Sahaf; Mengjie Zhang 001; Ausama Al-Sahaf; Mark Johnston (IEEE Trans. Evol. Comput., 2017)

Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. - Wenlong Fu; Bing Xue 001; Mengjie Zhang 001; Mark Johnston (IEEE Comput. Intell. Mag., 2018)

Bayesian genetic programming for edge detection. - Wenlong Fu; Mengjie Zhang 001; Mark Johnston (Soft Comput., 2019)

Cornucopia Reloaded: Load Barriers for CHERI Heap Temporal Safety. - Nathaniel Wesley Filardo; Brett F. Gutstein; Jonathan Woodruff; Jessica Clarke 001; Peter Rugg; Brooks Davis; Mark Johnston; Robert M. Norton; David Chisnall; Simon W. Moore; Peter G. Neumann; Robert N. M. Watson (ASPLOS (2), 2024)