Results 71 to 80 of about 20,360 (272)

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Nurse Scheduling with Opposition-Based Parallel Harmony Search Algorithm

Journal of Intelligent Systems, 2019
One of the advances made in the management of human resources for the effective implementation of service delivery is the creation of personnel schedules.
Cetin Yagmur Ece, Sarucan Ahmet
doaj   +1 more source

Exploiting heterogeneity for cost efficient 5G base station deployment using meta‐heuristics

IET Networks, 2020
A key concern in the design of 5G is the radio access network, which is expected to be significantly denser and more advanced, with considerably higher infrastructure and power consumption cost than that of conventional mobile network standards.
David Aondoakaa, John Comas, Stephen Swift   +2 more
doaj   +1 more source

The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?

European Policy Analysis, EarlyView.
ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley   +1 more source

Optimal size selection of combined diesel generator/fuel cell/photovoltaic system components using a multi‐objective strategy and sea lion optimization algorithm

IET Renewable Power Generation, EarlyView., 2023
The main purpose of the presented paper is to offer an optimum arrangement for a combined diesel generator/FC/PV system to off‐grid supplying of the electricity in a community in Shache, China. Abstract One of the challenges of the production sector of the electricity industry at present is how to meet the needs of electricity consumption in the ...
Hongbin Wang, Nurulafiqah Nadzirah Binti Mansor, Hazlie Bin Mokhlis, Arsam Mashhadi   +3 more
wiley   +1 more source

Gut‐microbiota‐brain Axis and post‐traumatic epilepsy

Epilepsia Open, EarlyView.
Abstract There has been growing evidence that perturbations in gut‐microbiota‐brain axis (GMBA) are involved in mechanisms of chronic sequelae of traumatic brain injury (TBI). This review discusses the connection between GMBA and post‐traumatic epilepsy (PTE), the latter being a common outcome of TBI.
Andrey Mazarati
wiley   +1 more source

Dynamic programming with meta-reinforcement learning: a novel approach for multi-objective optimization

Complex & Intelligent Systems
Multi-objective optimization (MOO) endeavors to identify optimal solutions from a finite array of possibilities. In recent years, deep reinforcement learning (RL) has exhibited promise through its well-crafted heuristics in tackling NP-hard combinatorial
Qi Wang, Chengwei Zhang, Bin Hu
doaj   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm

Information Processing in Agriculture, 2014
The novel imperialist competitive algorithm (ICA) has presented outstanding fitness on various optimization problems. Application of meta-heuristics has been a dynamic studying interest of the reliability optimization to determine idleness and ...
Hamid Taghavifar, Aref Mardani
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source