Optimal estimation of Schottky diode parameters using a novel optimization algorithm: Equilibrium optimizer
Sign Up to like & getrecommendations! Published in 2020 at "Superlattices and Microstructures"
DOI: 10.1016/j.spmi.2020.106665
Abstract: Abstract This paper presents a new approach based on a novel optimization algorithm (Equilibrium optimizer) to determine the critical characteristic parameters of the Au/GaN/GaAs Schottky barrier diodes, such as ideality factor, series resistance and barrier… read more here.
Keywords: equilibrium; schottky; optimization algorithm; novel optimization ... See more keywords
Equilibrium optimizer of interswarm interactive learning strategy
Sign Up to like & getrecommendations! Published in 2021 at "Enterprise Information Systems"
DOI: 10.1080/17517575.2021.1949636
Abstract: This paper proposes an equilibrium optimiser of interswarm interactive learning strategy to plan the shortest flight path of drones. This paper divide the population into a learning swarm and a lea... read more here.
Keywords: interactive learning; interswarm interactive; learning strategy; equilibrium optimizer ... See more keywords
Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051573
Abstract: In this paper, a new application of Equilibrium Optimizer (EO) is proposed for design hybrid microgrid to feed the electricity to Dakhla, Morocco, as an isolated area. EO is selected to design the microgrid system… read more here.
Keywords: diesel; system; design hybrid; equilibrium optimizer ... See more keywords
An Improved Equilibrium Optimizer Algorithm for Features Selection: Methods and Analysis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3108097
Abstract: In the last decade, data generated from different digital devices has posed a remarkable challenge for data representation and analysis. Because of the high-dimensional datasets and the rapid growth of data volume, a lot of… read more here.
Keywords: optimization; features selection; optimizer algorithm; equilibrium optimizer ... See more keywords
A Modified Equilibrium Optimizer Using Opposition-Based Learning and Teaching-Learning Strategy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3208089
Abstract: Equilibrium Optimizer (EO) is a newly developed intelligent optimization algorithm inspired by control volume mass balance models. EO has been proven to have an excellent solution effect on some optimization problems, with the advantages of… read more here.
Keywords: modified equilibrium; opposition based; teaching learning; optimizer ... See more keywords
A Hybrid White Shark Equilibrium Optimizer for Power Scheduling Problem Based IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3229434
Abstract: The power schedule problem (PSP) is the problem of managing, controlling, and scheduling power consumption of electrical appliances/devices to operate at the best periods according to several constraints and objectives. The PSP is a complex… read more here.
Keywords: problem; white shark; psp; power ... See more keywords
An Improved Equilibrium Optimizer with a Decreasing Equilibrium Pool
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14061227
Abstract: Big Data is impacting and changing the way we live, and its core lies in the use of machine learning to extract valuable information from huge amounts of data. Optimization problems are a common problem… read more here.
Keywords: problem; improved equilibrium; equilibrium optimizer; decreasing equilibrium ... See more keywords
Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Database Management"
DOI: 10.4018/jdm.321758
Abstract: Meta-heuristic algorithms have been widely used in deep learning. A hybrid algorithm EO-GWO is proposed to train the parameters of long short-term memory (LSTM), which greatly balances the abilities of exploration and exploitation. It utilizes… read more here.
Keywords: prediction; equilibrium optimizer; traffic flow; short term ... See more keywords