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PID Parameter Optimization of Temperature Control for Plastic Extruder Based on ISA-PSO Algorithm

Modelling and Simulation in Engineering
In order to improve the control accuracy of the temperature control system for the plastic extruder and better achieve optimal control between the parameter settings and the temperature of the plastic extruder, an intelligent algorithm combining improved
Peng-fei Ji, Tian-Peng Zhang, Yang Li, Chao Lu +3 more
doaj +1 more source

The PSO-IFAH optimization algorithm for transient electromagnetic inversion.

PLoS ONE
As a non-contact method, the transient electromagnetic (TEM) method has the characteristics of high efficiency, small impact of device, no limitation of site range, and high resolution, and is a hot topic in current research. However, the research on the
Zhengyu Xu, Guofeng Zhao, Xian Liao, Nengyi Fu +3 more
doaj +1 more source

Multi-objective reservoir operation using particle swarm optimization with adaptive random inertia weights

Water Science and Engineering, 2020
Based on conventional particle swarm optimization (PSO), this paper presents an efficient and reliable heuristic approach using PSO with an adaptive random inertia weight (ARIW) strategy, referred to as the ARIW-PSO algorithm, to build a multi-objective ...
Hai-tao Chen +3 more
doaj +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source

An ant colony genetic fusion routing algorithm based on soft define network

IET Networks, EarlyView., 2022
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley +1 more source

Research on PSO and MLEM Hybrid Algorithm for NDP Spectrum Unfolding

Yuanzineng kexue jishu
Neutron depth profiling (NDP) is a non-destructive analysis method which is widely used in lithium batteries, semiconductors, and other complex and high-precision industries.
LI Yuanhui1,2, YANG Rui3, ZHANG Qingxian1, XIAO Caijin4, CHEN Hongjie1, XIAO Hongfei1, CHENG Zhiqiang1
doaj +1 more source

Two Kinds of Classifications Based on Improved Gravitational Search Algorithm and Particle Swarm Optimization Algorithm

Advances in Mathematical Physics, 2017
Gravitational Search Algorithm (GSA) is a widely used metaheuristic algorithm. Although fewer parameters in GSA were adjusted, GSA has a slow convergence rate. In this paper, we change the constant acceleration coefficients to be the exponential function
Hongping Hu, Xiaxia Cui, Yanping Bai
doaj +1 more source

Gene Feature Selection Algorithm Based on Discrete Particle Swarm Optimization and Neighborhood Reduction [PDF]

Jisuanji gongcheng, 2016
Aiming at the problem that the gene feature selection based on discrete Particle Swarm Optimization(PSO) algorithm is easy to fall into local optimal solution,a combined optimization algorithm based on discrete PSO and neighborhood reduction is proposed ...
ZHANG Zhe,SUN Lijun
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Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source

particle swarm optimization
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