Searched for: subject%3A%22node%255C+selection%22
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document
Yilmaz, Kaan (author), Yorke-Smith, N. (author)
In line with the growing trend of using machine learning to help solve combinatorial optimisation problems, one promising idea is to improve node selection within a mixed integer programming (MIP) branch-and-bound tree by using a learned policy. Previous work using imitation learning indicates the feasibility of acquiring a node selection policy...
journal article 2021
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Yilmaz, M.K. (author)
In line with the growing trend of using machine learning to improve solving of combinatorial optimisation problems, one promising idea is to improve node selection within a mixed integer programming branch-and-bound tree by using a learned policy. In contrast to previous work using imitation learning, our policy is focused on learning which of a...
master thesis 2020
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Tessema, N.M. (author)
The wide deployment of wireless sensor nodes for varieties of applications calls the need for distributed beamforming as a cooperative scheme to efficiently use spectrum, to improve communication range and to save precious battery power during transmission. Given that there are a large set of cooperative cognitive radio users, ensuring the...
master thesis 2012