Particle Swarm Optimisation: A Historical Review Up to the Current Developments. [PDF]
Entropy (Basel), 2020 Freitas D, Lopes LG, Morgado-Dias F.
europepmc +2 more sources
A new localization method based on improved particle swarm optimization for wireless sensor networks
IET Software, 2022 Wireless sensor network (WSN) node localisation technology based on received signal strength indication (RSSI) is widely used as it does not need additional hardware devices. The ranging accuracy of RSSI is poor, and the particle swarm optimisation (PSO)
Qiaohe Yang
doaj +1 more source
Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers
IEEE Access, 2020 This paper aims to produce classifiers that are not only accurate but also interpretable to decision makers. The classifiers are represented in the form of risk scores, i.e.
Diem Pham +3 more
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A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications
Journal of High Energy Physics, 2021 Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensive to evaluate.
The DarkMachines High Dimensional Sampling Group +20 more
doaj +1 more source
An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]
, 2011 This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
al-Rifaie, Mohammad Majid +2 more
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Application of a new multi-agent Hybrid Co-evolution based Particle Swarm Optimisation methodology in ship design [PDF]
, 2010 In this paper, a multiple objective 'Hybrid Co-evolution based Particle Swarm Optimisation' methodology (HCPSO) is proposed. This methodology is able to handle multiple objective optimisation problems in the area of ship design, where the simultaneous ...
Cui, Hao, Turan, O.
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Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification [PDF]
, 2007 Particle swarm optimization (PSO) is introduced to implement a new constructive learning algorithm for training generalized cellular neural networks (GCNNs) for the identification of spatio-temporal evolutionary (STE) systems.
Billings, S.A., Wei, H.L.
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Application of Particle Swarm Optimisation to Evaluation of Polymer Cure Kinetics Models
Journal of Algorithms & Computational Technology, 2010 A particle swarm optimisation approach is used to determine the accuracy and experimental relevance of six disparate cure kinetics models. The cure processes of two commercially available thermosetting polymer materials utilised in microelectronics ...
T. Tilford +7 more
doaj +1 more source
Adaptive agent tracking approach for oil contamination in water environments
International Journal of Advanced Robotic Systems, 2020 The online monitoring of water environments is urgently needed. A feasible and effective approach is the use of agents. Water environments, similar to other real-world environments, present many changing and unpredictable situations.
Xiaoci Huang +4 more
doaj +1 more source
Quality Prediction and Parameter Optimisation of Resistance Spot Welding Using Machine Learning
Applied Sciences, 2022 In a small sample welding test space, and to achieve online prediction and self-optimisation of process parameters for the resistance welding joint quality of power lithium battery packs, this paper proposes a welding quality prediction model.
Yicheng He +4 more
doaj +1 more source