Results 21 to 30 of about 21,753 (225)

Optimization of Decision Tree Algorithm for Chronic Kidney Disease Classification Based on Particle Swarm Optimization (PSO)

Journal of Applied Informatics and Computing
The body's most important vital organ is the kidney. The kidneys are responsible for maintaining acid and alkaline balance, regulating blood pressure, and filtering blood to prevent the accumulation of metabolic waste in the body. However, chronic kidney
Laili Aulia Fitri, Anna Baita
doaj   +1 more source

A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem

Engineering Science and Technology, an International Journal, 2017
Recent trend of research is to hybridize two and more algorithms to obtain superior solution in the field of optimization problems. In this context, a new technique hybrid Particle Swarm Optimization (PSO)-Multi verse Optimizer (MVO) is exercised on some
Pradeep Jangir, Siddharth A. Parmar, Indrajit N. Trivedi, R.H. Bhesdadiya   +3 more
doaj   +1 more source

A New Kind of Pso: Predator Particle Swarm Optimization [PDF]

International Journal on Smart Sensing and Intelligent Systems, 2012
Abstract Today, swarm intelligence is widely used in optimization problems. PSO is one the best swarm intelligence methods. In the method, each particle moves toward the direction in which the best individual and group experience has happened. The most important disadvantage of this method is that it falls in local optima.
Mehdi Neshat, Mehdi Sargolzaei, Azra Masoumi, Adel Najaran   +3 more
openaire   +1 more source

The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm

Future Internet, 2018
The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions.
Tien Anh Tran
doaj   +1 more source

An improved predator-prey particle swarm optimization algorithm for Nash equilibrium solution.

PLoS ONE, 2021
Focusing on the problem incurred during particle swarm optimization (PSO) that tends to fall into local optimization when solving Nash equilibrium solutions of games, as well as the problem of slow convergence when solving higher order game pay off ...
Yufeng Meng, Jianhua He, Shichu Luo, Siqi Tao, Jiancheng Xu   +4 more
doaj   +1 more source

Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption

Energies, 2021
Energy saving is an important issue for multiple-chiller systems. Optimal chiller loading (OCL) in multiple-chiller systems has been investigated with many optimization algorithms to save energy.
Wen-Shing Lee, Wen-Hsin Lin, Chin-Chi Cheng, Chien-Yu Lin   +3 more
doaj   +1 more source

Perception of Particle Swarm Optimization (PSO) Algorithm in Insurance Strategies

SSRN Electronic Journal, 2018
In the worldwide time, insurance rapidly a lot of tremendous development in our society. Due to the increased stress in day-to-day life, the growth of demand for insurance increased. Data mining helps insurance firms to discover useful patterns from the customer database direction of determining best strategies. Particle swarm optimization (PSO) is one
Hossein, Niavand, Mahesh, R.
openaire   +2 more sources

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization

International Journal of Information Security, 2022
AbstractIn this paper, we present an unified framework that encompasses both particle swarm optimization (PSO) and federated learning (FL). This unified framework shows that we can understand both PSO and FL in terms of a function to be optimized by a set of agents but in which agents have different privacy requirements.
Vicenç Torra, Edgar Galván, Guillermo Navarro-Arribas   +2 more
openaire   +4 more sources

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source