Nature is a huge source of inspiration for solving difficult and complex problems in science.
Nature-based problem solvers always find an optimal solution (whether local or global) to …

This paper presents an exposition of a new method of swarm intelligence–based algorithm
for optimization. Modeling swallow swarm movement and their other behavior, this …

Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is
increasing popularity in resolving different optimization problems and has been widely …

Swarm intelligence refers to collective intelligence. Biologists and natural scientist have
been studying the behavior of social insects due to their efficiency of solving complex …

In this paper a review about the optimization algorithms based on swarm intelligence (SI)
with animal behavior is presented. In this review, are analyzed the most popular algorithms …

Abstract Crow Search Algorithm (CSA) is a recent swarm intelligence optimization algorithm
inspired by the social intelligent behavior of crows for hiding food. It has been widely used to …

The particle swarm optimization (PSO) is a population-based optimization method inspired
by flocking behavior of birds and human social interactions. So far, numerous modifications …

Considering the problem that a rooster in chicken swarm optimization (CSO) easily falls into
a local optimum and cannot fully demonstrate the population wisdom, the paper proposed …

In recent years, the bio-inspired intelligent optimization has always been a very popular field
of study in intelligence computing and has been widely applied in life science, system …

Background: Limitations exist in traditional optimization algorithms. Studies show that bio-
inspired alternatives have overcome these drawbacks. Bio-inspired algorithm mimics the …