A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

The unit commitment problem is one of the most significant and basic issues in the monitor,
control, and operation of modern power systems, which has always been a subject of great …

With uncertain wind and PV power integrated into the grid, the difficulty of peak shaving is
exacerbated. Therefore, the peak shaving operation of hydropower has become one of the …

Medical images acquired from different modalities give rise to many practical problems in
image registration. Intensity-based registration techniques have been increasingly used in …

In order to efficiently solve the binary optimization problems by using differential evolution
(DE), a class of new transfer functions, Taper-shaped transfer function, is firstly proposed by …

Power system applications often require solving one or multiple optimization problems
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …

Inspired by the evolutionary process in nature, Differential Evolution (DE) has been widely
concerned and used as a numerical global optimizer for decades of years, since its …

Regular assessments of events taking place around the globe can be a conduit for the
development of new ideas, contributing to the research world. In this study, the authors …

The large use of renewable sources and plug-in electric vehicles (PEVs) would play a
critical part in achieving a low-carbon energy source and reducing greenhouse gas …

Feature selection, widely used in data preprocessing, is a challenging problem as it involves
hard combinatorial optimization. So far some meta-heuristic algorithms have shown …