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In this paper, robust Pareto multi-objective optimum design of vehicle vibration model having parameters with probabilistic uncertainties is considered. In order to achieve optimum robust design against probabilistic uncertainties existing in reality, a multi-objective uniform-diversity genetic algorithm (MUGA) in conjunction with Monte Carlo simulation is used for Pareto optimum robust design of...
Gravitational Search Algorithm (GSA) is a novel optimization algorithm developed recently. Hence, it has not yet been applied for determination of the optimized parameters of microstrip patch antennas. Therefore, in this study, GSA has been applied for calculation of the length and width of the rectangular patch antenna. These parameters of rectangular patch antenna have been obtained under various...
In this study, a reference governor approach is proposed for path tracking of nonholonomic mobile robot considering prescribed constraints. The proposed approach is designed to minimize the tracking error with a desired speed while satisfying all other constraints such as bounds on linear and angular velocities, acceleration. This approach determines the control inputs of a path tracking algorithm...
The present article describes the application of Genetic Algorithm for force and moment balancing of a crank-slider mechanism. This technique permits competing design objectives to be considered through the investigation of trade-offs between those objectives. The objective functions of the design parameters are determined and their values are minimized by adjusting the independent variables of the...
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