Jim Smith's Outputs (136)

Estimating meme fitness in adaptive memetic algorithms for combinatorial problems (2012)
Journal Article

Among the most promising and active research areas in heuristic optimisation is the field of adaptive memetic algorithms (AMAs). These gain much of their reported robustness by adapting the probability with which each of a set of local improvement op... Read More about Estimating meme fitness in adaptive memetic algorithms for combinatorial problems.

A genetic approach to statistical disclosure control (2012)
Journal Article

Statistical disclosure control is the collective name for a range of tools used by data providers such as government departments to protect the confidentiality of individuals or organizations. When the published tables contain magnitude data such as... Read More about A genetic approach to statistical disclosure control.

Self-adaptative and coevolving memetic algorithms (2012)
Book Chapter

Making early predictions of the accuracy of machine learning classifiers (2012)
Book Chapter

Scaling up a hybrid genetic linear programming algorithm for statistical disclosure control (2011)
Presentation / Conference Contribution

Aspect oriented software fault tolerance and analytically redundant design framework (2010)
Presentation / Conference Contribution

Diversity or redundancy based software fault tolerance does not come for free; rather it introduces additional complexity to the core functionality in the form of redundancy development, management and controlled execution. This results in tangling o... Read More about Aspect oriented software fault tolerance and analytically redundant design framework.

Self-adaptation of mutation operator and probability for permutation representations in genetic algorithms (2010)
Journal Article

The choice of mutation rate is a vital factor in the success of any genetic algorithm (GA), and for permutation representations this is compounded by the availability of several alternative mutation operators. It is now well understood that there is... Read More about Self-adaptation of mutation operator and probability for permutation representations in genetic algorithms.

Teaching problem solving and AI with PacMan (2010)
Presentation / Conference Contribution

Impact of object extraction methods on classification performance in surface inspection systems (2010)
Journal Article

In surface inspection applications, the main goal is to detect all areas which might contain defects or unacceptable imperfections, and to classify either every single 'suspicious' region or the investigated part as a whole. After an image is acquire... Read More about Impact of object extraction methods on classification performance in surface inspection systems.

Assessment of the influence of adaptive components in trainable surface inspection systems (2010)
Journal Article

In this paper, we present a framework for the classification of images in surface inspection tasks and address several key aspects of the processing chain from the original image to the final classification result. A major contribution of this paper... Read More about Assessment of the influence of adaptive components in trainable surface inspection systems.

Meme fitness and memepool sizes in coevolutionary memetic algorithms (2010)
Presentation / Conference Contribution

Analytically redundant controllers for fault tolerance: Implementation with separation of concerns (2010)
Presentation / Conference Contribution

Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection (2010)
Journal Article

The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good results with this technique is the choice of distance function, and corresp... Read More about Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection.

User-centric image segmentation using an interactive parameter adaptation tool (2010)
Journal Article

Creating successful machine vision systems often begins a process of developing customised reliable image segmentation algorithms for the detection, and possibly categorisation of regions of interest within images. This can require significant invest... Read More about User-centric image segmentation using an interactive parameter adaptation tool.

Software fault tolerance: An aspect oriented approach (2010)
Book Chapter

Self-adaptive and coevolving MAs (2010)
Book Chapter

Evolutionary algorithms (2010)
Book Chapter

What are evolutionary algorithms? (2010)
Book Chapter

Separation of fault tolerance and non-functional concerns: Aspect oriented patterns and evaluation (2010)
Journal Article

Human-machine interaction issues in quality control based on online image classification (2009)
Journal Article

This paper considers on a number of issues that arise when a trainable machine vision system learns directly from humans. We contrast this to the "normal" situation where machine learning (ML) techniques are applied to a "cleaned" data set which is c... Read More about Human-machine interaction issues in quality control based on online image classification.