Results 81 to 90 of about 81,531 (237)

An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization

Mathematics, 2019
Particle swarm optimization (PSO) is a population-based optimization technique that has been applied extensively to a wide range of engineering problems. This paper proposes a variation of the original PSO algorithm for unconstrained optimization, dubbed
Shu-Kai S. Fan, Chih-Hung Jen
doaj   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

Energy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk, Habib Benbouhenni, Adil Yahdou, Zakaria Mohamed Salem Elbarary, Nicu Bizon   +4 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

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +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

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 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

Application of a particle swarm optimization for shape optimization in hydraulic machinery

EPJ Web of Conferences, 2017
A study of shape optimization has become increasingly popular in academia and industry. A typical problem is to find an optimal shape, which minimizes (or maximizes) a certain cost function and satisfies given constraints.
Moravec Prokop, Rudolf Pavel
doaj   +1 more source

Analysis of Optimal Power Flow Using Combined PSO-GSA Technique [PDF]

ITM Web of Conferences
Using a hybrid approach that incorporates both particle swarm optimization (PSO) and gravitational search algorithms (GSA), this project aims to find the best way for power systems to distribute their energy.
Patel Nilesh M., Thangadurai N., Patel Chirag   +2 more
doaj   +1 more source