Please cite this article in press as: V. John et al., M (2010), doi:10.1016/j.imavis.2010.03.008 In this paper, we address markerless full-body articulated human motion tracking from multi-view video sequences acquired in a studio environment. The tracking is formulated as a multi-dimensional non-linear optimisation and solved using particle swarm optimisation (PSO), a swarm-intelligence algori...

Tropospheric scatter is a promising method for over-the-horizon propagation. Transmission loss caused by the three mainstream troposcatter mechanisms analysed, namely turbulent incoherent scattering theory, coherent reflection stable layers and irregular theory. Then an experiment conducted to explore relationships among mechanisms. Based on this experiment, transmission prediction model establ...

Advanced optimisation of the aerofoil wing a general aircraft is main subject this paper. Meta-heuristic techniques, especially swarm algorithms, were used. Subsequently, new variant denoted as particle (aPSO) was developed from original (PSO). A parametric model based on B-spline used to optimise initial aerofoil. The simulation software Xfoil calculating basic aerodynamic features (lift, drag...

Problems for which many objective functions are to be simultaneously optimised are widely encountered in science and industry. These multiobjective problems have also been the subject of intensive investigation and development recently for metaheuristic search algorithms such as ant colony optimisation, particle swarm optimisation and extremal optimisation. In this chapter, a unifying framework...

In this paper we present two hybrid Particle Swarm Optimisers combining the idea of the particle swarm with concepts from Evolutionary Algorithms. The hybrid PSOs combine the traditional velocity and position update rules with the ideas of breeding and subpopulations. Both hybrid models were tested and compared with the standard PSO and standard GA models. This is done to illustrate that PSOs w...

In recent years the area of Evolutionary Computation has come into its own. Two of the popular developed approaches are Genetic Algorithms and Particle Swarm Optimisation, both of which are used in optimisation problems. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare th...

This paper presents a parallel approach to estimate the parameters in the heat loading of a district heating system by use of the traditional particle swarm optimisation (TPSO) on the Graphic Processing Unit (GPU) using OpenCL. The running time of the algorithm is greatly reduced compared to running on CPU. The heat load is approximated by the sum of time dependent and temperature dependent com...

This paper introduces the development of biomimetic underwater microrobots consisting of AVR microcontroller, an infrared ray communication system, and ionic conducting polymer film (ICPF) actuators. We use AVR ATmega16 as the control unit and an infrared ray receiver to provide feedback to the AVR unit. The spiral particle pathway searching approach is developed to search for particles. We als...