Multi-population based nature-inspired optimization algorithms have attracted wide research
interests in the last decade, and become one of the frequently used methods to handle real …

The first powerful variant of the Harris hawks optimization (HHO) is proposed in this work.
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …

This article presents the second Part of a two-Part survey that reviews evolutionary dynamic
optimization (EDO) for single-objective unconstrained continuous problems over the last two …

Multi-population algorithms have been widely used for solving the real-world problems.
However, it is not easy to get the number of sub-populations to be used for a given problem …

Many real-world optimization problems are dynamic. The field of dynamic optimization deals
with such problems where the search space changes over time. In this two-part article, we …

Recent advancements in energy systems have led to a series of new challenges in the
decision-making process. Harmony search (HS) algorithm, which is a music-inspired …

Sine cosine algorithm (SCA) is a widely used nature-inspired algorithm that is simple in
structure and involves only a few parameters. For some complex tasks, especially high …

The sine cosine algorithm (SCA) is a population-based metaheuristic strategy that has been
demonstrated competitive performance and has received significant attention from scientists …

Salp swarm algorithm (SSA) is a recently developed meta-heuristic swarm intelligence
optimization algorithm based on simulating the chain movement behavior of salps sailing …

This paper proposes an information sharing mechanism (ISM) to improve the performance of
particle swarm optimization (PSO). The ISM allows each particle to share its best search …