Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

This is a preview. Log in through your library . Abstract We study a deterministic maritime inventory routing problem with a long planning horizon. For instances with many ports and many vessels, ...

Two dynamic programming approaches for treating sequencing problems-one proposed by Schrage and Baker and the other by Lawler-are discussed in the context of an assembly line balancing problem. A ...