A new population-based search algorithm called the Bees Algorithm (BA) is presented. The algorithm mimics the food foraging behaviour of swarms of honey bees. In its basic version, the algorithmâ€¦ (More)

The K-means algorithm is a popular data-clustering algorithm. However, one of its drawbacks is the requirement for the number of clusters, K, to be specified before the algorithm is applied. Thisâ€¦ (More)

This paper presents a new neuro-fuzzy controller for robot manipulators. First, an inductive learning technique is applied to generate the required modelling rules from input/output measurementsâ€¦ (More)

This paper describes a new application of the Bees Algorithm to the optimisation of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. The algorithm, which is aâ€¦ (More)

An improved version of the Bees Algorithm is proposed for solving dynamic optimisation problems. This new formulation of the Bees Algorithm includes new search operators, and a new selectionâ€¦ (More)

Rapid manufacturing is a new mode of operation that can greatly improve the competitive position of companies adopting it. The key enabling technologies of rapid manufacturing are rapid prototypingâ€¦ (More)

This paper describes the use of unsupervised adaptive resonance theory ART2 neural networks for recognizing patterns in statistical process control charts. To improve the classiÂ® cation accuracy,â€¦ (More)

The data set used can influence the way in which inductive learning algorithms generate rules. A good set of training examples is a very important factor in obtaining high training and testâ€¦ (More)

The use of multi robot systems is based on the assumption that multiple agents are more efficient than a single agent. There are many tasks which are impossible to accomplish using a single robot orâ€¦ (More)

2015 Conference on Technologies and Applicationsâ€¦

2015

We investigate a mechanism of combining Genetic Algorithms (GA) and the Variable Neighborhood Search (VNS) for solving Traveling Salesman Problem (TSP). This combination aims to take advantage ofâ€¦ (More)