The Windy Postman Problem (WPP), is an interesting generalization of the classical Chinese Postman Problem (CPP), which has many real-world applications. The WPP has Cheap Bailey Button Boots
been shown to be NP-complete; therefore, it is difficult to solve the problem exactly. For this reason, heuristic solution procedures have been proposed to solve the problem approximately. In this paper, we first review the existing solution procedures, then introduce two new algorithms to solve the WPP near-optimally. Computational results show that the new algorithms outperform the existing solution procedures on some special class of networks.
Let [t] represent a finite population with t elements. Suppose we have an unknown d-family of k-subsets Γ of [t]. We refer to Γ as the set of positive k-complexes. In the group testing for complexes problem, Γ must be identified by performing 0, 1 tests on subsets or pools of [t]. A pool is said to be positive if it completely contains a Genuine Ugg Boots Uk
complex; otherwise the pool is said to be negative. In classical group testing, each member of Γ is a singleton. In this paper, we exhibit and analyze a probabilistic trivial two-stage algorithm that identifies the positive complexes.