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Multi-robot system has become the hot issue in the last decades because of its efficiency, robustness, scalability and global optimality. This work proposes a multi-robot patrol strategy for environment monitoring. First, we propose the function of patrol nodes generating under the circumstances of known probability distribution of emergency. Then we put forward the hierarchy immune clustering algorithm...
To cope with time-attribute and variations of event distribution in dynamic evolving process, an streaming process mining based on time series prediction and hybrid heuristic miner is proposed. A heuristic miner is improved based on post-task of activity in event logs to optimize the initial particle distribution for Particle Swarm Optimization. Furthermore, “aging factor” based on time series attribute...
In this paper, we critically analyze the optimization strategy of distribution network based on adapting adjustment of transformer's taps and review a large amount of relevant literature in order to explore the state-of-the-art research progresses in both academia and industry. By the analysis and literature review, a complete research proposal pertaining to the optimization strategy of distribution...
A self-optimization function called mobility robustness optimization (MRO) is to gradually find-tune the handover configuration parameters by analyzing handover history. It is expected that the smart antenna can help the MRO function to further decrease the number of radio link failures. However, current MRO function does not take smart antenna into consideration. This paper proposes an enhanced MRO...
We investigate the capacity of a downlink channel, where all adjacent base stations are connected via capacity-constrained backbone links to transmit a message to one receiver. For the additive Gaussian case, such a virtual multiple-in single-out channel realizes the distributed transmit beamforming. Based on the model of the multiple-access channel (MAC) with partially cooperating encoders, the capacity...
The size of the population can be critical in many application of genetic algorithm. And the probabilities of crossover and mutation have an effect on the diversity of population and the convergence of algorithm. In this paper we propose an adaptive method for crossover and mutation probabilities, which change with the varying population size. This algorithm could make great progress in searching...
We address ranging energy optimization for an unsynchronized localization system, which features robust sensor positioning, in the sense that specific accuracy requirements are fulfilled within a prescribed service area. Optimization problems related to the ranging energy of a sensor and beacons are proposed, after which a practical algorithm based on semidefinite programming is presented. The effectiveness...
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