Results 51 to 60 of about 12,784 (210)

Computational intelligence of probabilistic simulation in demand side management for avoided utility cost improvisation in a generation operating system planning / Daw Saleh Sasi Mohammed [PDF]

, 2017
In a generation operating system planning, avoided utility cost (AUC) is customarily implemented to attain the optimal economic benefits in a generating system by taking into account intriguing issues on the energy efficiency, renewable energy sources or
Sasi Mohamme, Daw Saleh
core  

Research on Discrete Artificial Bee Colony Cache Strategy of UAV Edge Network

Processes, 2022
Unmanned aerial vehicle edge networks (UENs) can reduce the cache load of the core network and improve system performance to provide users with efficient content services. However, the time-varying characteristics of content popularity in UENs lead to a low accuracy of popularity prediction, and the capacity limitations of wireless channel conditions ...
Yang Hong, Yuexia Zhang, Shaoshuai Fan
openaire   +1 more source

Ensemble Kalman filter in latent space using a variational autoencoder pair

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn, Marc Bocquet, Alberto Carrassi   +4 more
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Power flow management in hybrid AC/DC microgrids using the Artificial Bee Colony metaheuristic algorithm: A comparative study

Franklin Open
This paper presents an advanced power flow management strategy for a hybrid AC/DC microgrid integrating renewable energy sources such as photovoltaic systems and wind turbines, alongside an energy storage system and a gas turbine as a polluting source ...
Ssadik Charadi, Houssame Eddine Chakir, Abdelbari Redouane, Youssef Akarne, Abdennebi El Hasnaoui, Mehdi Et-taoussi   +5 more
doaj   +1 more source

Design of Multiplier-less FIR filters with Simultaneously Variable Bandwidth and Fractional Delay

Engineering Science and Technology, an International Journal, 2016
Low complexity and reconfigurability are the key features in emerging communication applications in order to support multi-standards and operation modes.
Aravind Illa, Nisha Haridas, Elizabeth Elias   +2 more
doaj   +1 more source

A discrete tree-seed algorithm for solving symmetric traveling salesman problem

Engineering Science and Technology, an International Journal, 2020
Tree-Seed algorithm (TSA) is a recently developed nature inspired population-based iterative search algorithm. TSA is proposed for solving continuous optimization problems by inspiring the relations between trees and their seeds.
Ahmet Cevahir Cinar, Sedat Korkmaz, Mustafa Servet Kiran   +2 more
doaj   +1 more source

A discrete artificial bee colony algorithm for the traveling salesman problem with time windows [PDF]

2012 IEEE Congress on Evolutionary Computation, 2012
This paper presents a discrete artificial bee colony algorithm (DABC) for solving the traveling salesman problem with time windows (TSPTW) in order to minimize the total travel cost of a given tour. TSPTW is a difficult optimization problem arising in both scheduling and logistic applications.
Karabulut, Korhan, Tasgetiren, M. Fatih
openaire   +4 more sources

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

An Effective Discrete Artificial Bee Colony Algorithm for Scheduling an Automatic-Guided-Vehicle in a Linear Manufacturing Workshop

IEEE Access, 2020
This paper deals with a new automatic guided vehicle (AGV) scheduling problem from the material handling process in a linear manufacturing workshop. The problem is to determine a sequence of Cells for AGV to travel to minimize the standard deviation of ...
Wen-Qiang Zou, Quan-Ke Pan, M. Fatih Tasgetiren   +2 more
doaj   +1 more source