Self-adaptive salp swarm algorithm for optimization problems

S Kassaymeh, S Abdullah, MA Al-Betar, M Alweshah… - Soft Computing, 2022 - Springer
In this paper, an enhanced version of the salp swarm algorithm (SSA) for global optimization
problems was developed. Two improvements have been proposed:(i) Diversification of the …

A novel controller placement algorithm based on network portioning concept and a hybrid discrete optimization algorithm for multi-controller software-defined networks

N Firouz, M Masdari, AB Sangar, K Majidzadeh - Cluster Computing, 2021 - Springer
Software defined network (SDN) has shown significant advantages in numerous real-life
aspects with separating the control plane from the data plane that provides programmable …

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 …

Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture

AAZ Ibrahim, F Hashim, NK Noordin, A Sali… - IEEE …, 2020 - ieeexplore.ieee.org
The integration of Software Defined Networking (SDN) and Network Function Virtualization
(NFV) is considered to be an efficient solution that enables the forecasting of highly scalable …

Quantum-inspired binary chaotic salp swarm algorithm (QBCSSA)-based dynamic task scheduling for multiprocessor cloud computing systems

K Mishra, R Pradhan, SK Majhi - The Journal of Supercomputing, 2021 - Springer
Scheduling in multiprocessor computing systems is experiencing prolific challenges in
datacenters due to the alarmingly growing need for dynamic on-demand resource …

Binary salp swarm algorithm for discounted {0-1} knapsack problem

BT Dang, TK Truong - Plos one, 2022 - journals.plos.org
While the classical knapsack problem has been the object to be solved by optimization
algorithm proposals for many years, another version of this problem, discounted {0-1} …

Application of mutation operators to salp swarm algorithm

R Salgotra, U Singh, G Singh, S Singh… - Expert Systems with …, 2021 - Elsevier
Salp swarm algorithm (SSA) based on the swarming behaviour of salps found in ocean, is a
very competitive algorithm and has proved its worth as an excellent problem optimizer …

A novel lifetime scheme for enhancing the convergence performance of salp swarm algorithm

M Braik, A Sheta, H Turabieh, H Alhiary - Soft Computing, 2021 - Springer
The performance of any meta-heuristic algorithm depends highly on the setting of
dependent parameters of the algorithm. Different parameter settings for an algorithm may …

SYNCOP: An evolutionary multi-objective placement of SDN controllers for optimizing cost and network performance in WSNs

S Tahmasebi, N Rasouli, AH Kashefi, E Rezabeyk… - Computer Networks, 2021 - Elsevier
Due to the highly dynamic nature of Wireless Sensor Networks (WSN), Software-Defined
Network (SDN) is a promising technology to ease network management by providing a …

[PDF][PDF] НОВЫЕ ПЕРСПЕКТИВЫ НАУ НЫХ ИССЛЕДОВАНИЙ В ОБЛАСТИ СЕТЕЙ СВЯЗИ НА 2021–2024 ГОДЫ

АЕ Кучерявый, РВ Киричек, МА Маколкина… - 2020 - academia.edu
Рассмотрены основные направления научных исследований в области сетей связи на
2021–2024 годы, а также видимые на сегодняшний день задачи, требующие решения …