Abstract In Artificial Intelligence, numerical optimization is an instantly rising research
domain. Swarm Intelligence (SI) and Evolutionary Algorithm (EA) are widely used to answer …

A novel nature-inspired swarm intelligence (SI) optimization is proposed called dolphin
swarm optimization algorithm (DSOA), which is based on mimicking the mechanism of …

In this paper an improved optimization algorithm called Opposition Based Salp Swarm
Algorithm (OSSA) is proposed. This is improved version of recently proposed Salp Swarm …

Aiming at the problems such as slow search speed, low optimization accuracy, and
premature convergence of standard seagull optimization algorithm, an enhanced hybrid …

In this article, the objective was to present effective and optimal strategies aimed at
improving the Swallow Swarm Optimization (SSO) method. The SSO is one of the best …

Particle Swarm Optimization (PSO) is a well-known extensively utilized algorithm for a
distinct type of optimization problem. In meta-heuristic algorithms, population initialization …

The seagull optimization algorithm (SOA) is a novel swarm intelligence algorithm proposed
in recent years. The algorithm has some defects in the search process. To overcome the …

This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm
(SOA) for solving computationally expensive problems. The main inspiration of this algorithm …

Cognitive computing has been commonly used to address different forms of optimization
issues. Swarm intelligence (SI) and evolutionary computing (EC) are population-based …

Abstract The Salp Swarm Algorithm (SSA) is a population-based Meta-heuristic Algorithm
(MA) that simulates the behavior of a group of salps foraging in the ocean. Although the …