Particle swarm optimization (PSO) is one of the most famous swarm-based optimization
techniques inspired by nature. Due to its properties of flexibility and easy implementation …

Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …

In this paper, a novel population-based technique called dung beetle optimizer (DBO)
algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and …

Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …

A new nature-inspired optimization method, named the Golden Jackal Optimization (GJO)
algorithm is proposed, which aims to provide an alternative optimization method for solving …

This study presents the analysis and principle of an innovative optimizer named weIghted
meaN oF vectOrs (INFO) to optimize different problems. INFO is a modified weight mean …

This paper proposes a novel nature-inspired meta-heuristic optimizer, called Reptile Search
Algorithm (RSA), motivated by the hunting behaviour of Crocodiles. Two main steps of …

A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …

In recent years, numerous meta-heuristic algorithms based on swarm intelligence have
been proposed and widely popularized. Although algorithms are designed by some specific …