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This paper shows a control method for controlling the forward speed and hopping height of a double actuated planar single legged hopping robot (SLHR).A full representation of the SLHR dynamic performance under the effect of its passive components within appropriate selected initial conditions is shown as the paper discusses the steps for selecting these initial values based on simple ballistic equations.
The Bees Algorithm is a recently developed optimization technique that mimics the foraging behavior of honey bees in nature. This study investigates the use of the Bees Algorithm for the selection of the optimal operating speed parameters for wind power units. Three speed parameters need to be optimized, namely, the rated, cut-in, and cut-off (furling) speed of the turbine. The aim of the optimization...
This study aimed to evaluate the palatability and the nutritional values of three cultivated salt-tolerant grasses (Sudan grass, Pear Millet and Sorghum grass) irrigated with two levels of water salinity (level 1, L1, 4000ppm and level 2, L2, 7000ppm total salts). Six groups with equal numbers of 18 adult Barki rams were offered one of the three grasses for each group. A palatability trial followed...
This paper presents FeaSANNT, an evolutionary procedure for feature selection and weight training for neural network classifiers. FeaSANNT exploits the global nature of evolutionary search to avoid sub-optimal peaks of performance. FeaSANNT was used to train a multi-layer perceptron classifier on seven benchmark problems. FeaSANNT attained accurate and consistent learning results, and significantly...
This paper present a novel method for matching the wind farm with wind turbine generating units from the view point of site data and generator parameters. The paper focuses on selecting wind generator turbine parameters' in order to optimize the generated energy while maximizing the utilization of the wind power available at the location. The study presents an improvement to the site performance by...
In this paper, the Bees algorithm was used to train multi-layer perceptron neural networks to model the inverse kinematics of an articulated robot manipulator arm. The Bees Algorithm is a recently developed parameter optimisation algorithm that is inspired by the foraging behaviour of honey bees. The Bees Algorithm performs a kind of exploitative neighbourhood search combined with random explorative...
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