The foremost objective of this article is to develop a novel hybrid powerful meta-heuristic that
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …

A unique hybrid meta-heuristic combining the salp swarm algorithm and the sine cosine
algorithm (SSCA) is established in this study to improve convergence speed while …

The salp swarm algorithm (SSA) has shown its fast search speed in several challenging
problems. Research shows that not every nature-inspired approach is suitable for all …

This paper introduces a novel hybrid evolutionary algorithm that combines particle swarm
optimization (PSO) algorithm with sine–cosine algorithm (SCA) and Nelder–Mead simplex …

The salp swarm algorithm (SSA) is a recent and straightforward swarm intelligent optimizer.
It mainly simulates the foraging and navigational behavior of salp in the ocean by forming a …

Swarm-based algorithm is best suitable when it can perform smooth balance between the
exploration and exploitation as well as faster convergence by successfully avoiding local …

Salp swarm algorithm (SSA) is one of the recent meta-heuristic algorithms that imitate the
behaviors of salps during the navigating and foraging in oceans to perform global …

The development of the meta-heuristic algorithms for solving the optimization problems and
constrained engineering problems is one of the topics of interest to researchers in recent …

This study proposes a new metaheuristic algorithm called sand cat swarm optimization
(SCSO) which mimics the sand cat behavior that tries to survive in nature. These cats are …

Salp swarm algorithm is a recent introduction in the field of swarm intelligent algorithms and
has proved its worth over various research domains. Though it is a competitive algorithm but …