This study adopted a metaheuristic approach based on the firefly algorithm (FA) optimization
to generate an appropriate configuration for an 8× 8 Substitution boxes (S-boxes). The FA …

Abstract Association Rule Mining (ARM) can be considered as a combinatorial problem with
the purpose of extracting the correlations between items in sizeable datasets. The numerous …

Several studies exist in the literature that utilized metaheuristics and nature-inspired
algorithms to solve engineering problems. Particle Swarm Optimization (PSO) is a well …

This paper presents a new hybrid of Bat Algorithm (BA) based on Mutual Information (MI)
and Naive Bayes called BAMI. In BAMI, MI was used to identify promising features which …

Utilization of computational approach in the study of social behaviour of animals is
increasing and we attempted such an approach in our study of tree-dwelling bats. These …

Abstract Network Intrusion Detection Systems (IDSs) have been widely used to monitor and
manage network connections and prevent unauthorized connections. Machine learning …

The current issues in spam email detection systems are directly related to spam email
classification's low accuracy and feature selection's high dimensionality. However, in …

During the last two decades, many optimization algorithms have been developed for solving
optimization problems. These algorithms have inspired from an intelligent behaviour of a …

One of the primary issues in this subject is the low accuracy of existing Network Intrusion
Detection Systems (IDS); this issue is exacerbated by the high dimensionality of the feature …

In this study, a mathematical model for optimizing the cost of solid waste recycling and
management was developed. Sine-Cosine Algorithm (SCA) was used during the …