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In order to improve the tracking speed and solve the masking problem, this paper traces objects by "Self-Organizing Hierarchical Particle Swarm Optimizer with Time-Varying Acceleration Coefficients (HPSO-TVAC)", improved from PSO algorithm. We use the relationship between the members of the groups to make whole groups go along toward the way of better goals by HPSO-TVAC algorithm, and we...
This study uses ZigBee wireless sensor network technology to build a distributed energy monitoring and management research system. A network of nodes can immediately capture the energy of the state in order to collect and analyze information through ZigBee wireless devices transmitting to a central system network server host. With an improved Particle Swarm Optimization (IPSO) approach to data integration...
This work aims to explore and improve the problems of the general optimized algorithm. General optimized algorithm is the mainstream method these days because it is suitable for a wide array of problems. Among all the options, genetic algorithm, particle swarm algorithm, and simulated annealing methods are the ones most commonly used to deal with difficult but regular fitness functions. Yet each method...
The purpose of this paper is develop an approach of Navigation for a wheeled mobile robot that is called “WMR”. The local map was constructed by using a laser rangefinder. The WMR will arrive to the destination which is assigned by user. Additionally, how to find the methods of collision-free and best path for the WMR is also very important. Particle Swarm Optimization (PSO) is a useful and easy to...
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