In this paper, we study the Parameterized P2\documentclass[12pt]{minimal}
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\begin{document}$$P_2$$\end{document}-Packing problem and Parameterized Co-Path Packing problem from random perspective. For the Parameterized P2\documentclass[12pt]{minimal}
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\begin{document}$$P_2$$\end{document}-Packing problem, based on the structure analysis of the problem and using random partition technique, a randomized parameterized algorithm of running time O∗(6.75k)\documentclass[12pt]{minimal}
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\begin{document}$$O^*(6.75^k)$$\end{document} is obtained, improving the current best result O∗(8k)\documentclass[12pt]{minimal}
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\begin{document}$$O^*(8^k)$$\end{document}. For the Parameterized Co-Path Packing problem, we firstly study the kernel and randomized algorithm for the degree-bounded instance, where each vertex in the instance has degree at most three. A kernel of size 20k\documentclass[12pt]{minimal}
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\begin{document}$$20k$$\end{document} and a randomized algorithm of running time O∗(2k)\documentclass[12pt]{minimal}
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\begin{document}$$O^*(2^k)$$\end{document} are given for the Parameterized Co-Path Packing problem with bounded degree constraint. By applying iterative compression technique and based on the randomized algorithm for degree bounded problem, a randomized algorithm of running time O∗(3k)\documentclass[12pt]{minimal}
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\begin{document}$$O^*(3^k)$$\end{document} is given for the Parameterized Co-Path Packing problem.