Several species of fish live in groups to increase their foraging efficiency and reproduction
rates. Such groups are considered self-organized since they can adopt different cooperative …

In metaheuristic algorithms, finding the optimal balance between exploration and
exploitation is a key research topic that remains open. In the nature, a reptile called Side …

Several interesting libraries for optimization have been proposed. Some focus on individual
optimization algorithms, or limited sets of them, and others focus on limited sets of problems …

Usage of statistical tools is important in reporting valid and unbiased findings of a research.
Therefore, this paper aims to discuss the statistical tools commonly used among researchers …

In this work, we demonstrate the superior exploration capabilities of the population-based
methods over the sequential one-parameter parabolic interpolation (SOPPI) approach to …

Abstract The Grey Wolf Optimizer (GWO) is a relatively new metaheuristic approach that has
shown promising results in solving continuous optimization problems. The Grey Wolf …

Optimizing computationally intensive models of real-world systems can be challenging,
especially when significant wall clock time is required for a single evaluation of a model …

Optimisation meta-heuristics such as particle swarm optimisation (PSO) require high-
performance computing (HPC). The use of software parallelism and hardware parallelism is …

The particle velocity and position updating play very important roles for achieving good
optimization performance of Particle Swarm Optimization (PSO). This paper analyzed the …

This paper investigates the performance and scalability of a new update strategy for the
particle swarm optimization (PSO) algorithm. The strategy is inspired by the Bak–Sneppen …