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This paper considers the waveform design problem for MIMO radar in order to improve the detection performance. We assume that target echoes are embedded in signal-dependent clutter and colored noise. Considering that transmit waveform design directly based on detection probability is not feasible, therefore, we employ an information-theoretic criteria, namely, J-Divergence as the metric for waveform...
Battlefield Target Value Analysis based on chaos genetic algorithm, the establishment artillery firepower selection model, weapons fire units to maximize performance and achieve maximum damage effect. Steps include: using real-coded, generate initial species by constructing chromosomes; computing fitness, testing initial species; operating genetic operators and improved selection, crossover, mutation...
Operating room scheduling is often done in steps. First, surgeries are assigned to an operating room's time blocks. Assigned surgeries are then sequenced. Idle time is often reserved at the end of the time block in order to buffer against possible overtime. This research focuses on the next step of determining the amount of time reserved for each of the pre-sequenced surgeries so that surgical teams...
Intelligent heuristic algorithms have been paid more and more attention in solving large-scale, complex optimization problems. Membrane computing is a new branch of natural computing with the features of distribution and great parallelism. PSO is also a simple and effective intelligent computing method. Considering the features of membrane computing and PSO, a hybrid algorithm MCBPSO is proposed in...
In this paper, we introduced IPGA (improved parallel genetic algorithm), a new parallel genetic algorithm which is based on k1 triangulation of fixed point theory and an injection island approach. This approach guarantees that the processors only generate solutions within their assigned region. And what's more, the k1 triangulation theory is introduced to the genetic algorithm to design convergence...
A parallel genetic algorithm based coarse-grained module for the optimal design of the flexible multi-body model vehicle suspensions is presented and the skeleton implementing is constituted in this paper. This paper tests the algorithm on the cluster system. The results show that the application of the algorithm presented in this paper outperforms equivalent sequential genetic algorithms for the...
With the development of data collection technology, effective visualization tools are needed urgently to understand the abundant multidimensional and multivariate data and information in the science, engineering and commerce fields. Star Coordinates is a traditional multivariate data visualization technique, but there are some limitations of it. In the paper we propose the advanced star coordinates...
With the heavily increase of information cognitive burden, it is urgent for us to find effective visualization tools to grasp the abundant multidimensional and multivariate information in the science, engineering and commerce fields. Star coordinates is a traditional multivariate data visualization technique, with some limitations, e.g. the loss of information, the poor result of visualization and...
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