To address the shortcomings of basic Gray Wolf Optimization (GWO) algorithm in solving complex problems, such as relying on initial population, converging too early, and easily falling into local optimality, a chaotic reverse learning initialization strategy, nonlinear control parameter convergence dynamic position update strategy are introduced to develop multi-strategy fusion Improved (IGWO) ...

Aiming at the problems of low accuracy network attack prediction and long response time detection, bidirectional short-term memory (BiLSTM) was used to predict attacks. However, BiLSTM has difficulty in parameter setting model. This paper first proposes Improved Grey Wolf algorithm (IGWO) optimize (IGWO-BiLSTM). First, IGWO uses Dimension Learning Hunting (DLH) strategy construct wolf neighborh...

Despite recent technological advances in DNA sequencing, incomplete coverage remains to be an issue in population genomics, in particular for studies that include ancient samples. Here, we describe an approach to estimate population divergence times for non-overlapping sequence data that is based on probabilities of different genealogical topologies under a structured coalescent model. We show ...