Globalized firefly algorithm and chaos for designing substitution box
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 …
to generate an appropriate configuration for an 8× 8 Substitution boxes (S-boxes). The FA …
Multi-swarm bat algorithm for association rule mining using multiple cooperative strategies
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 …
the purpose of extracting the correlations between items in sizeable datasets. The numerous …
A multi-swarm structure for particle swarm optimization: Solving the welded beam design problem
Several studies exist in the literature that utilized metaheuristics and nature-inspired
algorithms to solve engineering problems. Particle Swarm Optimization (PSO) is a well …
algorithms to solve engineering problems. Particle Swarm Optimization (PSO) is a well …
Bat Algorithm Based Hybrid Filter‐Wrapper Approach
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 …
and Naive Bayes called BAMI. In BAMI, MI was used to identify promising features which …
[HTML][HTML] An agent-based algorithm resembles behaviour of tree-dwelling bats under fission–fusion dynamics
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 …
increasing and we attempted such an approach in our study of tree-dwelling bats. These …
[PDF][PDF] Feature Selection Method based on Chaotic Salp Swarm Algorithm and Extreme Learning Machine for Network Intrusion Detection Systems
RN Hadi, RO Mahmoud, AST Eldien - Management, 2021 - mail.webology.org
Abstract Network Intrusion Detection Systems (IDSs) have been widely used to monitor and
manage network connections and prevent unauthorized connections. Machine learning …
manage network connections and prevent unauthorized connections. Machine learning …
[PDF][PDF] An Integrated Information Gain with A Black Hole Algorithm for Feature Selection: A Case Study of E-mail Spam Filtering
A Mahmood, AHM Al-Helali - Iraqi Journal of Science, 2023 - iasj.net
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 …
classification's low accuracy and feature selection's high dimensionality. However, in …
Solving optimization problems using hybrid metaheuristics: Genetic algorithm and black hole algorithm
OS Mohammed, AAAM Sewisy… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
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 …
optimization problems. These algorithms have inspired from an intelligent behaviour of a …
Levy flight salp swarm algorithm-based feature selection method for network intrusion detection systems
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 …
Detection Systems (IDS); this issue is exacerbated by the high dimensionality of the feature …
Solid waste collection optimization using scine-cosine algorithm
AH Ali, MM Shakir - Periodicals of Engineering and Natural …, 2020 - pen.ius.edu.ba
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 …
management was developed. Sine-Cosine Algorithm (SCA) was used during the …