Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

In an era where people in the world are concerned about environmental issues, companies
must reduce distribution costs while minimizing the pollution generated during the …

Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses,
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …

Indoor localization has broad application prospects, but accurately obtaining the location of
test points (TPs) in narrow indoor spaces is a challenge. The weighted K-nearest neighbor …

The irrelevant and repeated features in high-dimensional datasets can negatively affect the
final performance and accuracy of classification-based models. Therefore, feature selection …

In deployed wireless sensor networks (WSNs), how to efficiently transmit information
collected by sensor nodes with limited energy is a challenging problem. An appropriate …

Binary optimization assumes a pervasive significance in the context of practical applications,
such as knapsack problems, maximum cut problems, and critical node detection problems …

Periodic pattern mining has become a popular research subject in recent years; this
approach involves the discovery of frequently recurring patterns in a transaction sequence …

Feature selection (FS) is a crucial step in machine learning and data mining projects. It aims
to remove redundant and uncorrelated features, thus improving the accuracy of models …

The multimicrogrid network structure design problem (MNSDP) represents a binary matrix
optimization challenge, targeting the minimization of the cumulative length of power supply …