Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Convolutional neural networks (CNN) is a specialized case of artificial neural networks
(ANN) and finds its application in computer vision and parallel distributed computing for …

Recently, the numerical optimization field has attracted the research community to propose
and develop various metaheuristic optimization algorithms. This paper presents a new …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …

Deep learning has recently been utilized with great success in a large number of diverse
application domains, such as visual and face recognition, natural language processing …

Swarm intelligence techniques have been created to respond to theoretical and practical
global optimization problems. This paper puts forward an enhanced version of the firefly …

Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …

In this paper, binary variants of the Butterfly Optimization Algorithm (BOA) are proposed and
used to select the optimal feature subset for classification purposes in a wrapper-mode. BOA …

Phototaxis, signifying movement of an organism towards or away from a source of light, is
one of the most representative features for moths. It has recently been shown that one of the …