Design of quantum computing-based avain navigation optimization algorithm for parameter estimation of input nonlinear output error model with key term separation DOI
Khizer Mehmood, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan

et al.

Modern Physics Letters A, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

In recent years, quantum computing has been applied in optimizing different challenging systems the domains of science and engineering. This work reflects identification input nonlinear output error (I-NOE) model by using Quantum-based avian navigation optimizer algorithm (QANA). QANA is an evolutionary method inspired precision migratory birds. The assessment achieved on various iterations, population, noise levels. complexity, statistical, convergence investigation with arithmetic optimization (AOA), coati (COA), grey wolf (GWO), particle swarm (PSO), synergistic (SSOA), velocity pausing (VPPSO) approves robustness for I-NOE identification.

Language: Английский

A two-stage hybrid model for dissolved oxygen prediction and control in aquaculture DOI
Ziang Chen, Huiting Hu, Shuangyin Liu

et al.

Aquaculture International, Journal Year: 2025, Volume and Issue: 33(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0
Design of quantum computing-based avain navigation optimization algorithm for parameter estimation of input nonlinear output error model with key term separation DOI
Khizer Mehmood, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan

et al.

Modern Physics Letters A, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

In recent years, quantum computing has been applied in optimizing different challenging systems the domains of science and engineering. This work reflects identification input nonlinear output error (I-NOE) model by using Quantum-based avian navigation optimizer algorithm (QANA). QANA is an evolutionary method inspired precision migratory birds. The assessment achieved on various iterations, population, noise levels. complexity, statistical, convergence investigation with arithmetic optimization (AOA), coati (COA), grey wolf (GWO), particle swarm (PSO), synergistic (SSOA), velocity pausing (VPPSO) approves robustness for I-NOE identification.

Language: Английский

Citations

0