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Novel method based on ant colony optimization for solving ill-conditioned linear systems of equations

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3 Author(s)
Haibin, Duan ; School of Automation Science and Electrical Engineering, Beijing Univ. of Aeronautics and Astronautics, Beijing 100083, P. R. China; Coll. of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P. R. China ; Daobo, Wang ; Jiaqiang, Zhu

A novel method based on ant colony optimization (ACO), algorithm for solving the ill-conditioned linear systems of equations is proposed. ACO is a parallelized bionic optimization algorithm which is inspired from the behavior of real ants. ACO algorithm is first introduced, a kind of positive feedback mechanism is adopted in ACO. Then, the solution problem of linear systems of equations was reformulated as an unconstrained optimization problem for solution by an ACO algorithm. Finally, the ACO with other traditional methods is applied to solve a kind of multi-dimensional Hilbert ill-conditioned linear equations. The numerical results demonstrate that ACO is effective, robust and recommendable in solving ill-conditioned linear systems of equations.

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Systems Engineering and Electronics, Journal of  (Volume:16 ,  Issue: 3 )