Results 61 to 70 of about 21,753 (225)

PSO-Merging: Merging Models Based on Particle Swarm Optimization

CoRR
Model merging has emerged as an efficient strategy for constructing multitask models by integrating the strengths of multiple available expert models, thereby reducing the need to fine-tune a pre-trained model for all the tasks from scratch. Existing data-independent methods struggle with performance limitations due to the lack of data-driven guidance.
Kehao Zhang, Shaolei Zhang 0001, Yang Feng 0004   +2 more
openaire   +2 more sources

Bidirectional Wireless Power Transfer for Electric Vehicle Energy Systems Integrating Modelling, Intelligent Control, Communication and Cybersecurity: A Review

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates the evolution of wireless electric vehicle charging from unidirectional wireless power transfer to bidirectional wireless power transfer (BWPT) and toward future intelligent, autonomous wireless energy systems.
P. V. Elumalai, Yuvaraja Shanmugam, A. Vivek Anand, Mesith Chaimanee, Choon Kit Chan, S. Prabhakar, R. Narayanamoorthi   +6 more
wiley   +1 more source

Particle Swarm Optimization (PSO) Based Turbine Control

Intelligent Control and Automation, 2013
The steam turbine control system is strongly non-linear in all operating conditions. Proportional-Integral-Derivative (PID) controller that is currently used in control systems of many types of equipment is not considered highly precision for turbine speed control system.
Ali Tarique, Hossam A. Gabbar
openaire   +2 more sources

Improved Power Tracking and Performance Evaluation Using a Tri‐Meta Hybrid DOA–CSA–WOA‐Based MPPT Controller for Standalone PV System

Energy Science &Engineering, EarlyView.
A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas, Muhammad Farhan, Nouman Safdar, Muhammad Junaid Rabbani, Mohammad Rashed M. Altimania, Waleed Mohammed Abdelfattah, Hafiz Mudassir Munir   +6 more
wiley   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

Irrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra, J. C. Paul, Sushree Sangita Dash   +2 more
wiley   +1 more source

A novel discrete particle swarm optimization for p-median problem

Journal of King Saud University: Engineering Sciences, 2014
p-Median problem is a well-known discrete optimization problem aiming to locate p number of facilities that satisfies the demand of multiple places with minimum cost.
Mehmet Sevkli, Ruslan Mamedsaidov, Fatih Camci   +2 more
doaj   +1 more source

Intelligent diagnosis‐related group classification for 134,189 patients in eastern China using machine learning

Journal of Intelligent Medicine, EarlyView.
Intelligent DRG Classification with ELGWO‐LightGBM. Abstract Diagnosis‐related group (DRG) classification is crucial for healthcare cost management and resource allocation, but traditional manual classification by physicians is inefficient and error‐prone, especially for large‐scale medical data.
Yanxi Zhang, Yihan Cheng, Yuhui Ruan, Kun Wang   +3 more
wiley   +1 more source

Maritime route optimization using Q-learning–based quantum-behaved particle swarm optimization

Applied Ocean Research
The rapid growth of global maritime transportation has intensified demands for safe and efficient shipping routes optimization. Conventional particle swarm optimization (Particle Swarm Optimization PSO) and its quantum variant (Quantum-behaved Particle ...
Zhang Liankang, Yu Cai, JunRu Guo, Fu YanZhao, Jun Song   +4 more
doaj   +1 more source

A novel statistically tracked particle swarm optimization method for automatic generation control

Journal of Modern Power Systems and Clean Energy, 2014
Particle swarm optimization (PSO) is one of the popular stochastic optimization based on swarm intelligence algorithm. This simple and promising algorithm has applications in many research fields.
Cheshta Jain, H. K. Verma, L. D. Arya
doaj   +1 more source

A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Particle Swarm Optimization (PSO) and Crow Search Algorithm (CSA). [PDF]

Comput Intell Neurosci, 2021
Jia YH, Qiu J, Ma ZZ, Li FF.
europepmc   +1 more source