There have been many algorithms created and introduced in the literature inspired by
various events observable in nature, such as evolutionary phenomena, the actions of social …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

The data-driven modern era has enabled the collection of large amounts of biomedical and
clinical data. DNA microarray gene expression datasets have mainly gained significant …

This paper proposes a self-adaptive Equilibrium Optimizer (self-EO) to perform better global,
combinatorial, engineering, and multi-objective optimization problems. The new self-EO …

The equilibrium optimizer (EO) is a recently proposed physics-based metaheuristic
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …

Recently, the slime mould algorithm (SMA) has become popular in function optimization,
because it effectively uses exploration and exploitation to reach an optimal solution or near …

Slime mould algorithm (SMA) is a population‐based metaheuristic algorithm inspired by the
phenomenon of slime mould oscillation. The SMA is competitive compared to other …

This paper proposes an improved equilibrium optimizer (IEO) for selecting the most suitable
location and the most effective size of photovoltaic systems (PVSs) in radial distribution …

Optimization algorithm is an important method to solve complex extremum function and
engineering design constraint problems, and the improvement of algorithm optimization …