Background: Bioinspired computing algorithms are population-based probabilistic search
optimization approaches inspired by biological evolution and activity. These are highly …

The DNA motif discovery (MD) problem is the main challenge of genome biology, and its
importance is directly proportional to increasing sequencing technologies. MD plays a vital …

Particle swarm optimization algorithm (PSO) is a popular optimizer, in which each particle
selects its learning exemplars relying on their fitness. Thus, the search process of each …

An extensive examination of computational swarm intelligence reveals an escalating interest
in harnessing the capabilities of hybrid models and quantum-inspired algorithms with …

A comprehensive understanding of transcription factor binding sites (TFBSs) is a key
problem in contemporary biology, which is a critical issue in gene regulation. Identifying a …

The primary aim of identifying the binding motifs in gene regulation is to understand the
transcriptional regulation molecular mechanism systematically. In this study, the (ℓ, d) motif …