Results 21 to 30 of about 529 (161)

Nature Inspired Approach Toward Elimination of Nonlinearities in SWIPT Enabled Energy Harvesting Networks

open access: yesIEEE Access, 2022
The greatest challenge faced by the Simultaneous Wireless Information and Power Transfer (SWIPT) system during implementation is hardware impairment. This article proposes a bio-inspired digital pre-distortion scheme to overcome the high power amplifier ...
Ajin R. Nair, S. Kirthiga
doaj   +1 more source

Individual Disturbance and Attraction Repulsion Strategy Enhanced Seagull Optimization for Engineering Design

open access: yesMathematics, 2022
The seagull optimization algorithm (SOA) is a novel swarm intelligence algorithm proposed in recent years. The algorithm has some defects in the search process.
Helong Yu   +4 more
doaj   +1 more source

Multicamera Calibration Optimization Method Based on Improved Seagull Algorithm [PDF]

open access: yesSecurity and Communication Networks, 2021
There are some problems in the process of camera calibration, such as insufficient accuracy and poor accuracy. Based on the seagull algorithm, the adaptive differential evolution algorithm is combined with the seagull algorithm to optimize the multicamera calibration.
Shuai Du, Jianyu Wang, Jia Guo
openaire   +1 more source

Tuning PID Controllers Based on Hybrid Arithmetic Optimization Algorithm and Artificial Gorilla Troop Optimization for Micro-Robotics Systems

open access: yesIEEE Access, 2023
Micro particles have the potentials to be used for many medical purposes in-side the human body such as drug delivery and other operations. In the present paper, a novel hybrid algorithm based on Arithmetic optimization algorithm (AOA) and Artificial ...
Ehab Saif Ghith, Farid Abdel Aziz Tolba
doaj   +1 more source

Orthogonal Design-Based Control Vector Parameterization Combined With Improved Seagull Optimization Algorithm for Dynamic Optimization Problems

open access: yesIEEE Access, 2022
This paper proposes an orthogonal design-based control vector parameterization (OCVP, for short) and a Gaussian distribution-based seagull optimization algorithm (GSOA) for dynamic optimization problems (DOPs). OCVP uses orthogonal experimental design to
Haidong Guo, Yuanbin Mo, Yuedong Zhang
doaj   +1 more source

Correction of Radio Wave Propagation Prediction Model Based on Improved Seagull Algorithm in Tunnel Environment

open access: yesIEEE Access, 2021
In the urban rail transit (URT) environment, the radio wave propagation prediction model and communication system planning are very important. However, due to the complexity of the tunnel propagation environment, the current prediction model can not ...
Yunshui Zheng, Rui Yan, Yang Liu
doaj   +1 more source

Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning

open access: yesSensors, 2023
Due to the highly nonlinear, multi-stage, and time-varying characteristics of the marine lysozyme fermentation process, the global soft sensor models established using traditional single modeling methods cannot describe the dynamic characteristics of the
Na Lu, Bo Wang, Xianglin Zhu
doaj   +1 more source

Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems

open access: yesAutomatika, 2022
The changing weather conditions and Partial Shading Situation (PSS) create numerous challenges in harvesting available maximum power from the solar Photovoltaic (PV) systems.
Annapoorani Subramanian   +1 more
doaj   +1 more source

Improving Neural Network Based on Seagull Optimization Algorithm for Controlling DC Motor

open access: yesJurnal Elektronika dan Telekomunikasi, 2021
This article presents a direct current (DC) motor control approach using a hybrid Seagull Optimization Algorithm (SOA) and Neural Network (NN) method. SOA method is a nature-inspired algorithm.
Widi Aribowo   +3 more
doaj   +1 more source

Short-Term Photovoltaic Power Prediction Based on Similar Days and Improved SOA-DBN Model

open access: yesIEEE Access, 2021
Existing methods in predicting short-term photovoltaic (PV) power have low accuracy and cannot satisfy actual demand. Thus, a prediction model based on similar days and seagull optimization algorithm (SOA) is proposed to optimize a deep belief network ...
Wei Hu   +3 more
doaj   +1 more source

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