Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

Advances in manta ray foraging optimization: A comprehensive survey

FS Gharehchopogh, S Ghafouri, M Namazi… - Journal of Bionic …, 2024 - Springer
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Multi‐swarm and chaotic whale‐particle swarm optimization algorithm with a selection method based on roulette wheel

K Asghari, M Masdari, FS Gharehchopogh… - Expert …, 2021 - Wiley Online Library
The particle swarm optimization (PSO) and the whale optimization algorithm (WOA) are two
admired optimization methods that have drawn various researchers' attention. The PSO …

A novel combination of Deep Neural Network and Manta Ray Foraging Optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

HD Nguyen, QH Nguyen, QVV Du… - Geocarto …, 2022 - Taylor & Francis
Floods are the most dangerous natural disasters globally, occurring on a large scale, and
cause significant economic and environmental damage. Therefore, determining flood …

A learning automata-based hybrid MPA and JS algorithm for numerical optimization problems and its application on data clustering

S Barshandeh, R Dana, P Eskandarian - Knowledge-Based Systems, 2022 - Elsevier
Nature-inspired meta-heuristic algorithms possess various actions inspired by natural
phenomena, animal behaviors, chemistry or physics laws etc. The actions are utilized to …

Optimizing Network-on-Chip using metaheuristic algorithms: A comprehensive survey

M Masdari, SN Qasem, HT Pai - Microprocessors and Microsystems, 2023 - Elsevier
Abstract Network on Chip (NoC) is an interesting technology that benefits from several
processing elements and the necessary communication facilities, to provide an answer to …

Multi-controllers placement optimization in sdn by the hybrid hsa-pso algorithm

NS Radam, STF Al-Janabi, KS Jasim - Computers, 2022 - mdpi.com
Software-Defined Networking (SDN) is a developing architecture that provides scalability,
flexibility, and efficient network management. However, optimal controller placement faces …

A hybrid improved manta ray foraging optimization with Tabu search algorithm for solving the UAV placement problem in smart cities

AA Saadi, A Soukane, Y Meraihi, AB Gabis… - IEEE …, 2023 - ieeexplore.ieee.org
The concept of smart cities is to enhance the life quality of residents and provide efficient
services by integrating advanced information and communication technologies, autonomous …

Multi‐Controller Placement Optimization Using Naked Mole‐Rat Algorithm over Software‐Defined Networking Environment

AB Sapkota, BBR Dawadi… - Journal of Computer …, 2022 - Wiley Online Library
Software Defined Networking (SDN) is the novel networking paradigm where decoupling of
the control plane from the data plane has its inherent advantages. Controller Placement …

Controller placement with critical switch aware in software-defined network (CPCSA)

NM Yusuf, KA Bakar, B Isyaku, A Abdelmaboud… - PeerJ Computer …, 2023 - peerj.com
Software-defined networking (SDN) is a networking architecture with improved efficiency
achieved by moving networking decisions from the data plane to provide them critically at …