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In this paper, we describe a new small world optimization algorithm for obtaining satisfactory solution for high-dimensional function. Based on the small world phenomenon which is revealed in Milgram's sociological experiment, some operators with decimal-coding strategy are proposed, and then an ??imitated society?? decimal-coding small world optimization algorithm (DSWOA) is designed to solve high-dimensional...
Experimental issues arise when scientists attempt to directly study emergent behaviour brought on by the evolutionary process. Recently, algorithms that simulate artificial evolution in robotic societies have been used to circumvent such issues. This study attempts to investigate and interpret emergent signals used by artificial agents when evolved through a simple genetic algorithm setup. A multiagent...
This study tackles the production of 3D realistic map databases for outdoor environments. An approach based on the fusion of heterogeneous 3D representations was studied. We propose a variant of ICP (Iterative Closest Point) based on an adaptive dynamic threshold and a RANSAC removing outliers process. An application of our approach was tested on two scenarios: a registration of point clouds obtained...
In this paper, the main attention is focused on transient property of control input signal, we propose a novel adaptive controller for time-continuous single-input single-output linear systems with an input saturation in which i-th derivatives of the output signal (i = 1, ??????, relative degree) are available. To improve the control performance, a novel estimator using an observer for the tracking...
The gear box fault occur can lead to the fatal breakdown of mechanical system. Back propagation neural network (BPNN) have been proved to be of widespread utility for identifying and classifying gear box faults to prevent serious damage in a mechanical system. Some researchers have used particle swarm optimization (PSO) to train BPNN. However, because the PSO algorithm has several parameters to be...
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