Results 271 to 280 of about 269,671 (328)

Comparative study of random-PSO and Linear-PSO algorithms

2012 International Conference on Computer & Information Science (ICCIS), 2012
This paper presents a Linear-Particle Swarm Optimization (PSO) algorithm for discovering motifs in DNA sequences, and the strengths and weaknesses of using the Linear-PSO for discovering motifs of DNA sequences will be discussed. For the experiment, ten DNA sequences from an online database were used as an input for the algorithms.
Sharifah Lailee Syed Abdullah, Naimah Mohd Hussin, Hazaruddin Harun, Noor Elaiza Abd Khalid   +3 more
openaire   +1 more source

Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process

Energy, 2019
Process industry consumes tremendous amounts of electricity for production. Electric load forecasting could be conducive to managing the electricity consumption, determining the optimal production scheduling, and planning the maintenance schedule, which ...
Yusha Hu, Jigeng Li, Mengna Hong, Jingzheng Ren, Ruojue Lin, Yue Liu, Mengru Liu, Y. Man   +7 more
semanticscholar   +1 more source

Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability

Energy, 2017
In this paper, a hybrid genetic algorithm with particle swarm optimization (GA-PSO) is applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines, and battery.
Narges Ghorbani, A. Kasaeian, Ashkan Toopshekan, Leyli Bahrami, A. Maghami   +4 more
semanticscholar   +1 more source

Impact of Ant Size on Ant Supervised by PSO, AS-PSO, Performances

2017
AS-PSO, ANT Supervised by PSO is hybrid hierarchical metaheuristic optimization method where PSO optimizes ANT parameters to enhance its performances. In this paper, a focus is made on the impact of the ACO swarm size on AS-PSO performances for the Traveling Salesmen Problem (TSP) where AS-PSO is already known as a relevant solver.
Sonia Kefi, Nizar Rokbani, Adel M. Alimi
openaire   +1 more source

PSO Printer

2023
Particle Swarm Optimization of 3D Printing Parameters on Open-Source Commercial 3D ...
openaire   +1 more source

Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost

Acta Geotechnica, 2023
Selçuk Demir, E. Şahin
semanticscholar   +1 more source

A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM

, 2021
Xiaoqing Ren, Shulin Liu, Xiaodong Yu, Dong Xia   +3 more
semanticscholar   +1 more source

Optimal design of a grid-connected desalination plant powered by renewable energy resources using a hybrid PSO–GWO approach

Energy Conversion and Management, 2018
This paper presents a grid-connected hybrid renewable energy integrated with a reverse osmosis desalination plant to provide fresh water for a residential community.
Alaaeldin M. Abdelshafy, H. Hassan, J. Jurasz   +2 more
semanticscholar   +1 more source

Newton’s second law based PSO for feature selection: Newtonian PSO

Journal of Intelligent & Fuzzy Systems, 2019
High dimensional data have brobdingnagian number of features, but not all features are useful. Irrelevant and redundant features may even reduce the classification accuracy. Feature selection is a process of selecting a subset of relevant features to decrease the dimensionality of data.
Shikha Agarwal, Akshay Dhyani, Prabhat Ranjan   +2 more
openaire   +1 more source

Proceedings of the PSO

Asian Politics & Policy, 2011
  +9 more sources