Mark Johnston

Publication Activity (10 Years)

Years Active: 1983-2021
Publications (10 Years): 20

Top Venues

IEEE Congress on Evolutionary Computation

SEAL

IEEE Trans. Evol. Comput.

GECCO (Companion)

Publications

Edwin Goh, Hamsa Shwetha Venkataram, Mark Hoffmann, Mark Johnston, Brian Wilson
Scheduling the NASA Deep Space Network with Deep Reinforcement Learning. CoRR (2021)
Thomas Claudet, Ryan Alimo, Edwin Goh, Mark Johnston, Ramtin Madani, Brian Wilson
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. CoRR (2021)
Wenlong Fu, Mengjie Zhang, Mark Johnston
Bayesian genetic programming for edge detection. Soft Comput. 23 (12) (2019)
Wenlong Fu, Bing Xue, Mengjie Zhang, Mark Johnston
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. IEEE Comput. Intell. Mag. 13 (4) (2018)
Harith Al-Sahaf, Mengjie Zhang, Ausama Al-Sahaf, Mark Johnston
Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors. IEEE Trans. Evol. Comput. 21 (6) (2017)
Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, Mengjie Zhang
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. IEEE Trans. Evol. Comput. 21 (1) (2017)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection: a Gaussian-based approach. Soft Comput. 20 (3) (2016)
John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. EuroGP (2016)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances. Evol. Comput. 24 (1) (2016)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction. GECCO (2015)
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems. Swarm Evol. Comput. 22 (2015)
Wenlong Fu, Mengjie Zhang, Mark Johnston
Genetic Programming for Extracting Edge Features Using Two Blocks. AusDM (2015)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling. GECCO (Companion) (2015)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Distribution-based invariant feature construction using genetic programming for edge detection. Soft Comput. 19 (8) (2015)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. IEEE Trans. Cybern. 45 (1) (2015)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling. EuroGP (2015)
Rachel Hunt, Mark Johnston, Mengjie Zhang
Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling. EvoCOP (2015)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma
Image descriptor: A genetic programming approach to multiclass texture classification. CEC (2015)
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems. Soft Comput. 19 (9) (2015)
Richard J. Marshall, Mark Johnston, Mengjie Zhang
Hyper-heuristic Operator Selection and Acceptance Criteria. EvoCOP (2015)
Richard J. Marshall, Mark Johnston, Mengjie Zhang
Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem. GECCO (Companion) (2014)
Su Nguyen, Mengjie Zhang, Mark Johnston
A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling. IEEE Congress on Evolutionary Computation (2014)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data. IEEE Trans. Evol. Comput. 18 (6) (2014)
Rachel Hunt, Mark Johnston, Mengjie Zhang
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. GECCO (2014)
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems. Swarm Evol. Comput. 17 (2014)
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
Deception, blindness and disorientation in particle swarm optimization applied to noisy problems. Swarm Intell. 8 (4) (2014)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. SEAL (2014)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments. Evol. Comput. 22 (1) (2014)
Rachel Hunt, Mark Johnston, Mengjie Zhang
Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming. IEEE Congress on Evolutionary Computation (2014)
Richard J. Marshall, Mark Johnston, Mengjie Zhang
A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation. SEAL (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming? EvoApplications (2014)
Richard J. Marshall, Mark Johnston, Mengjie Zhang
Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem. SEAL (2014)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. IEEE Trans. Evol. Comput. 18 (2) (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Automatic Resolution Selection for Edge Detection Using Genetic Programming. SEAL (2014)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification. IVCNZ (2014)
Su Nguyen, Mengjie Zhang, Mark Johnston
Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. EuroGP (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Unsupervised learning for edge detection using Genetic Programming. IEEE Congress on Evolutionary Computation (2014)
Mark Johnston, Mike Wright
Prior analysis and scheduling of the 2011 Rugby Union ITM Cup in New Zealand. J. Oper. Res. Soc. 65 (8) (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Low-Level Feature Extraction for Edge Detection Using Genetic Programming. IEEE Trans. Cybern. 44 (8) (2014)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. SEAL (2014)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances. SEAL (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic Programming for Automatic Construction of Variant Features in Edge Detection. EvoApplications (2013)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. IEEE Trans. Evol. Comput. 17 (5) (2013)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
Comparing ensemble learning approaches in genetic programming for classification with unbalanced data. GECCO (Companion) (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation. IVCNZ (2013)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Hybrid evolutionary computation methods for quay crane scheduling problems. Comput. Oper. Res. 40 (8) (2013)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. EuroGP (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Investigation of low-level edge feature extraction using three blocks. IVCNZ (2013)
Juan Rada-Vilela, Mengjie Zhang, Mark Johnston
Optimal computing budget allocation in particle swarm optimization. GECCO (2013)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
Binary image classification using genetic programming based on local binary patterns. IVCNZ (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming. EvoApplications (2013)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images. Inf. Sci. 246 (2013)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
A One-Shot Learning Approach to Image Classification Using Genetic Programming. Australasian Conference on Artificial Intelligence (2013)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data. IEEE Trans. Evol. Comput. 17 (3) (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection using multivariate density. GECCO (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Triangular-distribution-based feature construction using Genetic Programming for edge detection. IEEE Congress on Evolutionary Computation (2013)
John Park, Su Nguyen, Mark Johnston, Mengjie Zhang
Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming. Australasian Conference on Artificial Intelligence (2013)
Juan Rada-Vilela, Mengjie Zhang, Mark Johnston
Resampling in Particle Swarm Optimization. IEEE Congress on Evolutionary Computation (2013)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
Genetic programming for order acceptance and scheduling. IEEE Congress on Evolutionary Computation (2013)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. IEEE Congress on Evolutionary Computation (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection based on figure of merit. GECCO (Companion) (2012)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. EuroGP (2012)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images. GECCO (Companion) (2012)
Jeffrey Chang, Mark Johnston
Cloud Computing in Local Government: From the Perspective of Four London Borough Councils. Int. J. Cloud Appl. Comput. 2 (4) (2012)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. SEAL (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Soft edge maps from edge detectors evolved by genetic programming. IEEE Congress on Evolutionary Computation (2012)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data. IEEE Trans. Syst. Man Cybern. Part B 42 (2) (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection using blocks to extract features. GECCO (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. SEAL (2012)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images. IEEE Congress on Evolutionary Computation (2012)
Aaron Scoble, Mark Johnston, Mengjie Zhang
Local Search in Parallel Linear Genetic Programming for Multiclass Classification. Australasian Conference on Artificial Intelligence (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. Australasian Conference on Artificial Intelligence (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Multi-frequency transformation for edge detection. IVCNZ (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection via balancing individual training images. IEEE Congress on Evolutionary Computation (2012)
Aaron Scoble, Mark Johnston, Mengjie Zhang
Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming. Australasian Conference on Artificial Intelligence (2011)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation. GECCO (2011)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images. Australasian Conference on Artificial Intelligence (2011)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
Edge detection using constrained discrete particle swarm optimisation in noisy images. IEEE Congress on Evolutionary Computation (2011)
Sooraj KuttyKrishnan, Jeffrey Sabina, Laura Langton, Mark Johnston, Michael R. Brent
A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription. RECOMB (2011)
Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang
Particle swarm optimisation based AdaBoost for object detection. Soft Comput. 15 (9) (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Hybrid particle swarm optimisation based on history information sharing. GECCO (2011)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. GECCO (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection: A global approach. IEEE Congress on Evolutionary Computation (2011)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data. Australasian Conference on Artificial Intelligence (2011)
Su Nguyen, Mengjie Zhang, Mark Johnston
A genetic programming based hyper-heuristic approach for combinatorial optimisation. GECCO (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. Australasian Conference on Artificial Intelligence (2011)
Rachel Hunt, Mark Johnston, Mengjie Zhang
Improving Robustness of Multiple-Objective Genetic Programming for Object Detection. Australasian Conference on Artificial Intelligence (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation. EvoApplications (1) (2011)
Mahdi Setayesh, Mark Johnston, Mengjie Zhang
Edge and Corner Extraction Using Particle Swarm Optimisation. Australasian Conference on Artificial Intelligence (2010)
Mark Johnston, Thomas Liddle, Mengjie Zhang
A Relaxed Approach to Simplification in Genetic Programming. EuroGP (2010)
Rachel Hunt, Mark Johnston, Will N. Browne, Mengjie Zhang
Sampling Methods in Genetic Programming for Classification with Unbalanced Data. Australasian Conference on Artificial Intelligence (2010)
David Kinzett, Mengjie Zhang, Mark Johnston
Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs. IEEE Congress on Evolutionary Computation (2010)
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data. GECCO (2010)
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data. Australasian Conference on Artificial Intelligence (2010)
David Kinzett, Mengjie Zhang, Mark Johnston
Analysis of Building Blocks with Numerical Simplification in Genetic Programming. EuroGP (2010)
Thomas Liddle, Mark Johnston, Mengjie Zhang
Multi-Objective Genetic Programming for object detection. IEEE Congress on Evolutionary Computation (2010)
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
Genetic Programming for Classification with Unbalanced Data. EuroGP (2010)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search. Australasian Conference on Artificial Intelligence (2010)
David Kinzett, Mark Johnston, Mengjie Zhang
Numerical simplification for bloat control and analysis of building blocks in genetic programming. Evol. Intell. 2 (4) (2009)
Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston
Particle Swarm Optimization based Adaboost for face detection. IEEE Congress on Evolutionary Computation (2009)

Mark Johnston.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mark Johnston