文件名称:A-Swarm-Intelligence-Algorithm
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联合稀疏恢复的Swarm算法，在基本particle swarm optimization (PSO)算法基础上进行改进-Inspired by particle swarm
optimization (PSO) algorithm and some sparse recovery algorithms,
a novel swarm intelligence algorithm called M-SISR is
proposed to solve the problem. In M-SISR, the initial positions of
the swarm are designed using the-thresholding
algorithm, and the update strategy is designed using the ideas of
PSO and some sparse recovery algorithms. Theoretical analysis
shows the good property of the update strategy, and numerical
simulations on random Gaussian data illustrate the efficiency of
M-SISR.
optimization (PSO) algorithm and some sparse recovery algorithms,
a novel swarm intelligence algorithm called M-SISR is
proposed to solve the problem. In M-SISR, the initial positions of
the swarm are designed using the-thresholding
algorithm, and the update strategy is designed using the ideas of
PSO and some sparse recovery algorithms. Theoretical analysis
shows the good property of the update strategy, and numerical
simulations on random Gaussian data illustrate the efficiency of
M-SISR.
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A Swarm Intelligence Algorithm for Joint Sparse Recovery.pdf