Meta-heuristic algorithms are an essential way to solve realistic optimization problems.
Develo** effective, accurate, and stable meta-heuristic algorithms has become the goal of …

The use of metaheuristics is one of the most encouraging methodologies for taking care of
real-life problems. Bald eagle search (BES) algorithm is the latest swarm-intelligence …

The integration of several renewable energy sources (RESs), such as photovoltaic
generation (PVG) and wind turbine generation (WTG), introduces a significant amount of …

Marine predator algorithm adopts the policy of optimal encounter rate in biological
interaction between predator and prey, inspired by the Lévy and Brownian motions …

The construction and shape optimization of complex shape-adjustable surfaces is a crucial
and intractable technique in Computer Aided geometric Design (CAGD), which has a wide …

The classification problem is an important research topic in machine learning and data
mining. Feature selection can remove irrelevant and redundant features and improve …

Recently, renewable energy resources such as wind turbines (WTs) and photovoltaic (PV)
systems are wildly installed in electrical systems. However, the main challenge that related …

The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …

There are many tricky optimization problems in real life, and metaheuristic algorithms are the
most effective way to solve optimization problems at a lower cost. The dung beetle …

Short-term hydrothermal scheduling is a complex dynamic nonlinear optimization problem
which considers various hydropower constraints. In this study, an adaptive beluga whale …