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Aspect oriented software fault tolerance and analytically redundant design framework (2010)
Conference Proceeding
Hameed, K., Williams, R., & Smith, J. (2010). Aspect oriented software fault tolerance and analytically redundant design framework. In 2010 International Conference on Dependable Systems and Networks Workshops (DSN-W), (38-44). https://doi.org/10.1109/DSNW.2010.5542623

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
Smith, J. E., Serpell, M., & Smith, J. (2010). Self-adaptation of mutation operator and probability for permutation representations in genetic algorithms. Evolutionary Computation, 18(3), 491-514. https://doi.org/10.1162/EVCO_a_00006

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
Smith, J., & Cayzer, S. (2010, August). Teaching problem solving and AI with PacMan. Paper presented at Proceedings of the 11th Annual Conference on the Teaching of Computing

Impact of object extraction methods on classification performance in surface inspection systems (2010)
Journal Article
Smith, J. E., Raiser, S., Lughofer, E., Eitzinger, C., & Smith, J. (2010). Impact of object extraction methods on classification performance in surface inspection systems. Machine Vision and Applications, 21(5), 627-641. https://doi.org/10.1007/s00138-009-0205-z

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
Van Brussel, H., Smith, J. E., Eitzinger, C., Heidl, W., Lughofer, E., Raiser, S., …van Brussels, H. (2010). Assessment of the influence of adaptive components in trainable surface inspection systems. Machine Vision and Applications, 21(5), 613-626. https://doi.org/10.1007/s00138-009-0211-1

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.

Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection (2010)
Journal Article
Tahir, M., & Smith, J. (2010). Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection. Pattern Recognition Letters, 31(11), 1470-1480. https://doi.org/10.1016/j.patrec.2010.01.030

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
Pauplin, O., Caleb-Solly, P., & Smith, J. (2010). User-centric image segmentation using an interactive parameter adaptation tool. Pattern Recognition, 43(2), 519-529. https://doi.org/10.1016/j.patcog.2009.03.007

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.

Self-adaptive and coevolving MAs (2010)
Book Chapter
Smith, J. (2010). Self-adaptive and coevolving MAs. In C. Cotta, F. Neri, & P. Moscato (Eds.), Handbook of Memetic AlgorithmsSpringer

What are evolutionary algorithms? (2010)
Book Chapter
Eiben, A. E., & Smith, J. (2010). What are evolutionary algorithms?. In C. Cotta, & F. Neri (Eds.), Handbook of Memetic Algorithms, 9-27. Springer

Evolutionary algorithms (2010)
Book Chapter
Eiben, A. E., & Smith, J. (2010). Evolutionary algorithms. In F. Neri, C. Cotta, & P. Moscato (Eds.), Handbook of Memetic Algorithms, 9-27. Springer