Mark Johnston

Soft Comput., 2019

2018

Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes].

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2018

2017

Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2017

Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2017

2016

Genetic programming for edge detection: a Gaussian-based approach.

[BibT_eX]

[DOI]

Soft Comput., 2016

Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances.

[BibT_eX]

[DOI]

Evol. Comput., 2016

Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 19th European Conference, 2016

2015

Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2015

Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems.

[BibT_eX]

[DOI]

Soft Comput., 2015

Distribution-based invariant feature construction using genetic programming for edge detection.

[BibT_eX]

[DOI]

Soft Comput., 2015

A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Hyper-heuristic Operator Selection and Acceptance Criteria.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 18th European Conference, 2015

Image descriptor: A genetic programming approach to multiclass texture classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Genetic Programming for Extracting Edge Features Using Two Blocks.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

2014

Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2014

Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2014

Low-Level Feature Extraction for Edge Detection Using Genetic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2014

Deception, blindness and disorientation in particle swarm optimization applied to noisy problems.

[BibT_eX]

[DOI]

Swarm Intell., 2014

Prior analysis and scheduling of the 2011 Rugby Union ITM Cup in New Zealand.

[BibT_eX]

[DOI]

Mike Wright

J. Oper. Res. Soc., 2014

Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.

[BibT_eX]

[DOI]

Evol. Comput., 2014

Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Automatic Resolution Selection for Edge Detection Using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming.

[BibT_eX]

[DOI]

Su Nguyen

Proceedings of the Genetic Programming - 17th European Conference, 2014

A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling.

[BibT_eX]

[DOI]

Su Nguyen

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Unsupervised learning for edge detection using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach.

[BibT_eX]

[DOI]

Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2013

Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2013

A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Hybrid evolutionary computation methods for quay crane scheduling problems.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2013

Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Investigation of low-level edge feature extraction using three blocks.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Binary image classification using genetic programming based on local binary patterns.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Optimal computing budget allocation in particle swarm optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Genetic programming for edge detection using multivariate density.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Comparing ensemble learning approaches in genetic programming for classification with unbalanced data.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Genetic Programming for Automatic Construction of Variant Features in Edge Detection.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 16th European Conference, 2013

Resampling in Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Genetic programming for order acceptance and scheduling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Triangular-distribution-based feature construction using Genetic Programming for edge detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

A One-Shot Learning Approach to Image Classification Using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012

Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

Cloud Computing in Local Government: From the Perspective of Four London Borough Councils.

[BibT_eX]

[DOI]

Jeffrey Chang

Int. J. Cloud Appl. Comput., 2012

Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Multi-frequency transformation for edge detection.

[BibT_eX]

[DOI]

Proceedings of the Image and Vision Computing New Zealand, 2012

A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Genetic programming for edge detection based on figure of merit.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Genetic programming for edge detection using blocks to extract features.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 15th European Conference, 2012

Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Soft edge maps from edge detectors evolved by genetic programming.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Genetic programming for edge detection via balancing individual training images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Local Search in Parallel Linear Genetic Programming for Multiclass Classification.

[BibT_eX]

[DOI]

Aaron Scoble

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection.

[BibT_eX]

[DOI]

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

Particle swarm optimisation based AdaBoost for object detection.

[BibT_eX]

[DOI]

Soft Comput., 2011

A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2011

Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A genetic programming based hyper-heuristic approach for combinatorial optimisation.

[BibT_eX]

[DOI]

Su Nguyen

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Hybrid particle swarm optimisation based on history information sharing.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving ensembles in multi-objective genetic programming for classification with unbalanced data.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2011

Edge detection using constrained discrete particle swarm optimisation in noisy images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Genetic programming for edge detection: A global approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images.

[BibT_eX]

[DOI]

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming.

[BibT_eX]

[DOI]

Aaron Scoble

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Improving Robustness of Multiple-Objective Genetic Programming for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Genetic Programming for Edge Detection Based on Accuracy of Each Training Image.

[BibT_eX]

[DOI]

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010

AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Analysis of Building Blocks with Numerical Simplification in Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming, 13th European Conference, 2010

A Relaxed Approach to Simplification in Genetic Programming.

[BibT_eX]

[DOI]

Thomas Liddle

Proceedings of the Genetic Programming, 13th European Conference, 2010

Genetic Programming for Classification with Unbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming, 13th European Conference, 2010

Multi-Objective Genetic Programming for object detection.

[BibT_eX]

[DOI]

Thomas Liddle

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Edge and Corner Extraction Using Particle Swarm Optimisation.

[BibT_eX]

[DOI]

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Sampling Methods in Genetic Programming for Classification with Unbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search.

[BibT_eX]

[DOI]

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009

Numerical simplification for bloat control and analysis of building blocks in genetic programming.

[BibT_eX]

[DOI]

Evol. Intell., 2009

Particle swarm optimization based multi-prototype ensembles.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

How online simplification affects building blocks in genetic programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Particle Swarm Optimization based Adaboost for face detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Multi-Objective Genetic Programming for Classification with Unbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008

A PSO Based Adaboost Approach to Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Using Numerical Simplification to Control Bloat in Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

An analysis of multi-sampled issue and no-replacement tournament selection.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Is the not-sampled issue in tournament selection critical?

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Feature Construction and Dimension Reduction Using Genetic Programming.

[BibT_eX]

[DOI]

Kourosh Neshatian

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

1999

Application of Domain Testing to Reliability Amplification.

[BibT_eX]

Proceedings of the 17th IASTED International Conference on Applied Informatics, 1999

1983

The nature of reflexive paradoxes. I.

[BibT_eX]

[DOI]

Leonard Goddard