Results 41 to 50 of about 2,009 (157)

An improved evaluation model for supplier selection based on particle swarm optimisation‐back propagation neural network

IET Collaborative Intelligent Manufacturing, 2022
With the trend of supply chain globalisation, competition among enterprises is becoming more intense. Enterprises urgently need to improve their core competitiveness, and the enhancement of the competencies can depend on technologies services and the ...
Jun Yu, Daming Li, Aihui Wang, Ping Liu, Jingwen Song, Xiaobo Han   +5 more
doaj   +1 more source

Calibration of Micromechanical Parameters for the Discrete Element Simulation of a Masonry Arch using Artificial Intelligence

Infrastructures, 2023
This study focuses on an old but still unresolved problem of automatically calibrating the constitutive parameters of discrete element models. Instead of the troublesome and time-consuming manual trial-and-error method, which is typical today, the ...
Ghulam Kibriya, Ákos Orosz, János Botzheim, Katalin Bagi   +3 more
doaj   +1 more source

A novel methodology to predict monthly municipal water demand based on weather variables scenario

Journal of King Saud University: Engineering Sciences, 2022
This study provides a novel methodology to predict monthly water demand based on several weather variables scenarios by using combined techniques including discrete wavelet transform, principal component analysis, and particle swarm optimisation.
Salah L. Zubaidi, Khalid Hashim, Saleem Ethaib, Nabeel Saleem Saad Al-Bdairi, Hussein Al-Bugharbee, Sadik Kamel Gharghan   +5 more
doaj   +1 more source

Location optimisation for antennas by asynchronous particle swarm optimisation

IET Communications, 2013
A novel optimisation procedure for the location of the transmitter in 3 × 3 multiple input multiple output wireless local area network wireless communication systems is presented. The optimal antenna location for maximising the channel capacity is searched by particle swarm optimiser (PSO) and asynchronous particle swarm optimisation (APSO).
Shu-Han Liao, Chien-Ching Chiu, Min-Hui Ho   +2 more
openaire   +1 more source

Particle Swarm Optimisation for Feature Selection in Classification [PDF]

, 2021
<p>Classification problems often have a large number of features, but not all of them are useful for classification. Irrelevant and redundant features may even reduce the classification accuracy. Feature selection is a process of selecting a subset of relevant features, which can decrease the dimensionality, shorten the running time, and/or ...
openaire   +2 more sources

An Investigation into the Rescue-Path Planning Algorithm for Multiple Mine Rescue Teams Based on FA-MDPSO and an Improved Force-Directed Layout

Fire
It is noted that existing mine emergency-rescue algorithms have overlooked the requirement for multi-route sharing at critical nodes and have offered limited network visualisation.
Qiangyu Zheng, Peijiang Ding, Zhixin Qin, Zhenguo Yan   +3 more
doaj   +1 more source

PAPR reduction in OFDM using scaled particle swarm optimisation based partial transmit sequence technique

The Journal of Engineering, 2019
Partial transmit sequence (PTS) is one of the effective techniques for reducing the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. PTS technique has some issues such as higher computational complexity due
Sanjana Prasad, Ramesh Jayabalan, Ramesh Jayabalan   +2 more
doaj   +1 more source

Resource Optimisation Method for Multi-Agent Manufacturing System Based on Cloud-Edge Collaboration Architecture

Tsinghua Science and Technology
The multi-agent manufacturing system has emerged as a well-established paradigm in intelligent manufacturing. Presently, challenges such as limited adaptability, elevated maintenance expenses, and complexities in enabling local agent deployment at end ...
Zijian Zhu, Zequn Zhang, Kai Chen, Dunbing Tang, Qixiang Cai   +4 more
doaj   +1 more source

Enhanced efficiency and quality in wind turbine gearbox assembly: a new parallel assembly sequence planning (PASP) model

International Journal of Sustainable Engineering
This paper presents two major advances in parallel assembly sequence planning (PASP) for complex systems, specifically wind turbine gearboxes. The proposed time-cost-quality PASP hybrid model (PASP-TCQ) aims to enhance efficiency, reduce costs, and ...
Sydney Mutale, Yong Wang, Jan Yasir
doaj   +1 more source

Path planning of autonomous agricultural machineries in complex rural road

The Journal of Engineering, 2020
This study mainly investigates the path planning and collision avoidance problem of autonomous agricultural machineries in the complex rural road. First, the grid model is used to build the global map of machineries and the particle swarm optimisation ...
Jinbo Cui, Xianfeng Zhang, Xinmiao Fan, Wei Feng, Ping Li, Yu Wu   +5 more
doaj   +1 more source