刘好斌, 牟廉明. 求解矩阵Penrose广义逆的混合智能算法[J]. 内江师范学院学报, 2011, (12): 9-12.
引用本文: 刘好斌, 牟廉明. 求解矩阵Penrose广义逆的混合智能算法[J]. 内江师范学院学报, 2011, (12): 9-12.
LIU Hao-bin, MOU Lian-ming. Hybrid Intelligent Algorithm to Solve Penrose Generalized Matrix Inverses[J]. Journal of Neijiang Normal University, 2011, (12): 9-12.
Citation: LIU Hao-bin, MOU Lian-ming. Hybrid Intelligent Algorithm to Solve Penrose Generalized Matrix Inverses[J].Journal of Neijiang Normal University, 2011, (12): 9-12.

求解矩阵Penrose广义逆的混合智能算法

Hybrid Intelligent Algorithm to Solve Penrose Generalized Matrix Inverses

  • 摘要:有效求解矩阵Penrose广义逆是一个困难的问题.首先将求解Penrose广义逆转化为求最小极值问题,结合粒子群算法和差分算法的优点,设计了混合智能算法.仿真实验结果表明:混合智能算法求解Penrose广义逆是有效的和可行的.算法易于计算机实现,计算精度高.

    Abstract:Researchers have long been plagued by the problem of finding an effective approach to solve the Penrose generalized Matrix Inverses of a matrix. First, the determination of the Penrose generalized Matrix Inverses is transformed into the deterinination of the minimal extremum;and then in combination with the advantages of particle swarm optimization and difference algorithm, a hybrid intelligent algorithm is thus designed. And the simulation test shows that the newly developed hybrid intelligent algorithm proves to be effective and feasible in solving the Penrose generalized inverses and is characterized by high accuracy and easy computer execution of computer operation.

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