This study presents an extensive analysis of ten emerging swarm intelligence metaheuristic
techniques, namely Emperor Penguins Colony (EPC), Harris Hawks Optimizer (HHO) …

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

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems,
natural or artificial. SI systems are typically made up of a population of simple agents …

It is obvious from wider spectrum of successful applications that metaheuristic algorithms are
potential solutions to hard optimization problems. Among such algorithms are swarm-based …

A metaheuristic is a collection of algorithmic frameworks inspired by nature designed to
provide the fittest nearoptimal solution for optimization problems (Marqas et al., 2020) …

In various research areas there is a requirement for optimized results in various research-
oriented parameters. In steganography, the important task is to find out the areas, where we …

Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …

This book provides comprehensive details of all Swarm Intelligence based Techniques
available till date in a comprehensive manner along with their mathematical proofs. It will act …

A swarm is a group of a single species in which the members interact with one another and
with the immediate environment without a principle for control or the emergence of a global …

With Metaheuristic algorithms hybridization is used typically to improve the performances of
original algorithm, so it became a recent trend of research is to hybridize two and several …