Abstract To improve the inspection efficiency of free-form surfaces using coordinate measuring machines (CMMs), this paper proposes a CMM path optimization method based on an improved ant colony optimisation algorithm. The composition and its mathematical model are first analysed, then algorithm is applied to minimize objective function. address problem that has difficulty jumping out local opt...

The two most important criteria for vectorial Boolean functions used as S-boxes in block ci-phers are differential uniformity and nonlinearity. Previous work in this field has focused onlyon nonlinearity and a different criterion, autocorrelation. In this paper, we describe the resultsof experiments in using simulated annealing, memetic algorithms, and ant colony optimisation to...

This paper describes the use of Ant Colony Optimisation for the classification of works of disputed authorship, in this case the Federalist Papers.Classification accuracy was 79.1%, which compares reasonably well with previous work on the same data set using neural networks and genetic algorithms. Although statistical approaches have performed much better than this, the advantage of a rule-base...

The paper presents a simulation study of the usefulness of a number of meta-heuristics used as optimisation methods for TSP problems. The five considered approaches are outlined: Genetic Algorithm, Simulated Annealing, Ant Colony System, Tabu Search and Hopfield Neural Network. Using a purpose-developed computer program, efficiency of the meta-heuritics has been studied and compared. Results ob...

In this paper we introduce an Ant Colony Optimisation (ACO) algorithm to find solutions for the well-known Knight’s Tour problem. The algorithm utilizes the implicit parallelism of ACO’s to simultaneously search for tours starting from all positions on the chessboard. We compare the new algorithm to a recently reported genetic algorithm, and to a depth-first backtracking search using Warnsdorff...

The increasing demand for work-ready students has heightened the need universities to provide work integrated learning programs enhance and reinforce students’ experiences. Students benefit most when placements meet their academic requirements graduate aspirations. Businesses community partners are more engaged they allocated that industry requirements. In this paper, both an integer programmin...

the classification and regression trees (cart) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. in spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.in the other words methods present high variance. fuzzy logic brings in an improvement in theseaspects due ...