Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem

H Bakır, HT Kahraman, S Yılmaz, S Duman… - Applied Soft …, 2024 - Elsevier
In this paper, the multi-objective AC-DC optimal power flow (MO/AC-DC OPF) problem in the
presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) …

Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach

D Rekioua, N Mezzai, Z Mokrani, A Oubelaid… - Scientific Reports, 2024 - nature.com
This research paper discusses a wind turbine system and its integration in remote locations
using a hybrid power optimization approach and a hybrid storage system. Wind turbine …

Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pum** storage

F Merahi, H Mernache, D Aouzelag, AE Badoud… - Scientific Reports, 2024 - nature.com
Wind energy plays a crucial role as a renewable source for electricity generation, especially
in remote or isolated regions without access to the main power grid. The intermittent …

[HTML][HTML] Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems

K Nagarajan, A Rajagopalan, M Bajaj, V Raju… - Results in …, 2025 - Elsevier
In this study, the authors propose the Enhanced Wombat Optimization Algorithm (EWOA) as
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …

[HTML][HTML] Fuzzy logic-enhanced direct power control for wind turbines with doubly fed induction generators

D ZIANE, B Deffaf, SL BELAID, Y BELKHIER… - Results in …, 2024 - Elsevier
This paper introduces a novel approach, F12-DPC (Fuzzy Logic-based 12-sector Direct
Power Control), aimed at significantly improving the performance of wind turbines using …

A global dynamic evolution snow ablation optimizer for unmanned aerial vehicle path planning under space obstacle threat

C Liu, D Zhang, W Li - Scientific Reports, 2024 - nature.com
In this paper, an improved Global Dynamic Evolution Snow Ablation Optimizer (GDSAO) is
proposed in order to solve the problem of global optimization and Unmanned Aerial Vehicle …

[HTML][HTML] Cognitive computing method based on decoding psychological emotional states

B Huangfu, W Cheng - International Journal of Cognitive Computing in …, 2025 - Elsevier
The current artificial intelligence is constrained to passively executing human command
control. It cannot perceive, learn, and guide itself. Furthermore, the majority of these systems …

Improved snow ablation optimization for multilevel threshold image segmentation

R Zhong, C Zhang, J Yu - Cluster Computing, 2025 - Springer
Snow ablation optimization (SAO) is a novel metaheuristic algorithm (MA). However, we
observed certain issues in the original SAO, such as poor capacity in esca** from local …

Optimizing FBG sensor layout of tunnel monitoring using improved multi-objective snow ablation optimizer based on radial basis function

R **ng, Z Zhao, C He, P Xu, D Zhu, Y Li, Y Li, Z Yang - Measurement, 2025 - Elsevier
In order to improve the optimization criterion and optimization algorithm, this study
introduced the objective function of monitoring performance combining the reconstruction …

Microfluidic droplet detection for bio medical application using YOLO with COA based segmentation

KS Kumar, AV Juliet - Evolving Systems, 2025 - Springer
Nowadays, biological and biochemical analysis using droplet-based microfluidics has
become common practice. This process involves precisely locating the interface between …