Dynamic Synergy Optimization (DSO): An Integrated Approach of Metaheuristic Algorithms and PID Control for Real-Time Stability Enhancement in Refrigeration Systems DOI
Jieyu Li,

Xingxiang Xie,

Leyang Dai

et al.

International Journal of Refrigeration, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

A Bionic Social Learning Strategy Pigeon-Inspired Optimization for Multi-Unmanned Aerial Vehicle Cooperative Path Planning DOI Creative Commons
Yankai Shen, Xinan Liu,

Xiao Ma

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 910 - 910

Published: Jan. 17, 2025

This paper proposes a bionic social learning strategy pigeon-inspired optimization (BSLSPIO) algorithm to tackle cooperative path planning for multiple unmanned aerial vehicles (UAVs) with detection. Firstly, modified (PIO) is proposed, which incorporates strategy. In this modification, the global best replaced by average of top-ranked solutions in map and compass operator, while center local landmark operator. The also proves algorithm’s convergence provides complexity analysis. Comparison experiments demonstrate that proposed method searches optimal solution guaranteeing fast convergence. Subsequently, path-planning model, detection units’ network cost estimation are constructed. developed BSLSPIO utilized generate feasible paths UAVs, adhering time consistency constraints. simulation results show generates at minimum effectively solves UAVs’ problem.

Language: Английский

Citations

0
Integration of Artificial Intelligence and Advanced Optimization Techniques for Continuous Gas Lift under Restricted Gas Supply: A Case Study DOI Creative Commons

Leila Zeinolabedini,

Forough Ameli, Abdolhossein Hemmati‐Sarapardeh

et al.

Digital Chemical Engineering, Journal Year: 2025, Volume and Issue: 14, P. 100220 - 100220

Published: Feb. 1, 2025

Language: Английский

Citations

0
Parameter estimation and validation of cascaded DC-DC boost converters for renewable energy systems using the IGWO optimization algorithm DOI
Seyit Alperen Çeltek, Seda Kül, Selami Balcı

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 242, P. 111462 - 111462

Published: Feb. 1, 2025

Language: Английский

Citations

0
An Improved Grey Wolf Optimizer with Flexible Crossover and Mutation for Cluster Task Scheduling DOI Creative Commons
Hongbo Wang, Jinyu Zhang, Jingkun Fan

et al.

Information Sciences, Journal Year: 2025, Volume and Issue: 704, P. 121943 - 121943

Published: Feb. 6, 2025

Language: Английский

Citations

0
An improved decision tree model through hyperparameter optimization using a modified gray wolf optimization for diabetes classification DOI

Muhammad Sam’an,

Farikhin,

Muhammad Munsarif

et al.

Computer Methods in Biomechanics & Biomedical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Feb. 13, 2025

Diabetes is a chronic condition that affects blood sugar levels and vital organs in the body. Early detection crucial given increasing global prevalence of diabetes grave risk complications if not properly managed. Thus, good prediction system necessary. Although Decision Tree (DT) commonly used for classification, it less effective with large datasets. We propose hyperparameter optimization DT using Grey Wolf Optimization (GWO), which has exploration both exploitation capabilities. However, limited search space GWO may hinder practical exploitation, leading to premature optimization. To address this, we modified (MGWO) by adding Levy distribution function enhance movements alpha, beta, delta wolves. also provide GA (Genetic Algorithm) as comparative algorithm. The fitness value MGWO 0.8498, surpassing (0.8373) (0.8492). Evaluation results indicate yield similar superior accuracy compared GWO. proposed method outperforms existing ones. Further research needed evaluate impact varying number wolves on performance classification accuracy.

Language: Английский

Citations

0
Edge-computing-enabled hybrid and multi-objective geographic routing for mesh IoT networks: An IMOGWO-based approach DOI

Sihem Tlili,

Sami Mnasri, Thierry Val

et al.

Simulation Modelling Practice and Theory, Journal Year: 2025, Volume and Issue: unknown, P. 103093 - 103093

Published: Feb. 1, 2025

Language: Английский

Citations

0
Sustainable Power Generation in Mauritania: Feasibility and Optimization of Integrated Biogas-Solar Systems DOI
Sidahmed Sidi Habib, Shuichi Torii,

Md Ashraful Islam

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Novel Hybrid MPPT based on modified incremental conductance-grey wolf optimization for grid connected PV systems DOI Open Access

Ahmad Mohammad Nezam,

Yunus Yalman

International Journal of Energy Studies, Journal Year: 2025, Volume and Issue: 10(1), P. 1203 - 1225

Published: March 18, 2025

In recent years, the utilization of renewable energy sources has expanded significantly to mitigate adverse effects associated with conventional sources, particularly carbon dioxide (CO₂) emissions. Due intermittent nature Photovoltaic (PV) system, output power PV system fluctuates which affects and quality system. Maximum point tracking techniques (MPPT) are utilized overcome efficiency problems. this paper, a hybrid MPPT algorithm is proposed improve for grid-connected systems. The combines modified incremental conductance grey wolf Optimization. Incremental Conductance (INC), Modified (M_INC), Perturb & Observe (P&O), (M_P&O), Grey Wolf Optimization (GWO) methods implemented in MATLAB compared algorithm. simulation results ensure outperform other algorithms by possessing lowest THD 2.31% it reaches 99.71% less oscillation at output.

Language: Английский

Citations

0
Research on hierarchical emergency resource scheduling for island petrochemical enterprises based on improved multi-objective grey wolf optimization algorithm DOI
Jihong Ye,

Ren Shi,

Chuanqi Guo

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135791 - 135791

Published: March 1, 2025

Language: Английский

Citations

0
Influence mechanism of process parameters on axial compressive response of CNTs reinforced filament‐wound riser with metal liner DOI
Bo Deng, Ning Zhuang,

Shuang Ye

et al.

Polymer Composites, Journal Year: 2025, Volume and Issue: unknown

Published: April 12, 2025

Abstract Carbon nanotubes (CNTs) reinforced filament‐wound riser with metal liner face critical challenges in maintaining structural integrity under axial compressive loads, especially when subjected to the harsh conditions of deep‐sea environments. However, existing manufacturing processes for filament winding risers lack a comprehensive understanding how key process parameters interact influence strength. This study aims deeply explore mechanism on strength CNTs liner. The model was constructed by using multivariate nonlinear method, and effectiveness ensured through verification. Meanwhile, single parameter analyzed reveal internal relationship between tension, feed rate, curing time, maximum load. coupling effects were elucidate which interactions govern compression performance. Furthermore, sensitivity analysis carried out determine sensitive parameters, divide window, optimize parameters. Finally, optimal combination load 88.4074 kN, 51.7448 N 14.8607 m/min speed, 6.3741 h time determined based PSO‐GWO algorithm. research results can provide novel approach high‐performance risers. Highlights Novel integrating multiple regression global–local analysis. Stable region division method adopted ranges composite wound hybrid algorithm employed

Language: Английский

Citations

0