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 …

The main focus of this paper is on the family of evolutionary algorithms and their real-life
applications. We present the following algorithms: genetic algorithms, genetic programming …

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

This paper proposes a novel optimization algorithm, called Emperor Penguin Optimizer
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …

This paper presents a bio-inspired algorithm called Sooty Tern Optimization Algorithm
(STOA) for solving constrained industrial problems. The main inspiration of this algorithm is …

In this paper, a hybrid bio-inspired metaheuristic optimization approach namely emperor
penguin and salp swarm algorithm (ESA) is proposed. This algorithm imitates the huddling …

With the modernization of power grids, the network optimal utilization is essential to ensure
that voltage profile at each bus is maintained within an acceptable range, voltage stability of …

The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …

Text clustering is one of the efficient unsupervised learning techniques used to partition a
huge number of text documents into a subset of clusters. In which, each cluster contains …

Stock market trading has been a subject of interest to investors, academicians, and
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …