The Diversity-Maintained Adaptive Rafflesia Optimization Algorithm represents an enhanced
version of the original Rafflesia Optimization Algorithm. The latter draws inspiration from the …

Evolutionary algorithms (EAs) is a family of population-based nature optimization methods.
In contrast to classical optimization techniques, EAs provide a set of approximated solutions …

Chameleon swarm algorithm (CSA) is a newly proposed swarm intelligence algorithm
inspired by the chameleon's foraging strategies of tracking, searching and attacking targets …

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 …

The black widow spider optimization algorithm (BWOA) had the problems of slow
convergence speed and easily to falling into local optimum mode. To address these …

This research paper presents a novel optimization method called the Synergistic Swarm
Optimization Algorithm (SSOA). The SSOA combines the principles of swarm intelligence …

Only by balancing the exploitation and exploration ability of the algorithm can the swarm
intelligence optimization algorithm have better performance. Therefore, hybrid algorithms …

Nowadays, optimization techniques are required in various engineering domains to find
optimal solutions for complex problems. As a result, there is a growing tendency among …

This paper presents a novel bio-inspired algorithm inspired by starlings' behaviors during
their stunning murmuration named starling murmuration optimizer (SMO) to solve complex …

Elephant herding optimization (EHO) has received widespread attention due to its few
control parameters and simple operation but still suffers from slow convergence and low …