Results 11 to 20 of about 2,009 (157)

Application of Improved Particle Swarm Optimisation Algorithm in Hull form Optimisation

Journal of Marine Science and Engineering, 2021
The particle swarm optimisation (PSO) algorithm has been widely used in hull form optimisation owing to its feasibility and fast convergence. However, similar to other intelligent algorithms, PSO also has the disadvantages of local premature convergence ...
Qiang Zheng, Bai-Wei Feng, Zu-Yuan Liu, Hai-Chao Chang   +3 more
doaj   +1 more source

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, Binh Tran, Su Nguyen, Damminda Alahakoon   +3 more
doaj   +1 more source

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, Csaba Balázs, Melissa van Beekveld, Sascha Caron, Barry M. Dillon, Ben Farmer, Andrew Fowlie, Eduardo C. Garrido-Merchán, Will Handley, Luc Hendriks, Guðlaugur Jóhannesson, Adam Leinweber, Judita Mamužić, Gregory D. Martinez, Sydney Otten, Roberto Ruiz de Austri, Pat Scott, Zachary Searle, Bob Stienen, Joaquin Vanschoren, Martin White   +20 more
doaj   +1 more source

Particle swarm optimisation for outlier detection [PDF]

Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010
Outlier detection is an important problem as the underlying data points often contain crucial information, but identifying such points has multiple challenges, e.g. noisy data, imprecise boundaries and lack of training examples. In the novel approach presented in this paper, the outlier detection problem is converted into an optimisation problem.
Ammar W. Mohemmed, Mengjie Zhang 0001, Will N. Browne   +2 more
openaire   +2 more sources

Stochastic stability of particle swarm optimisation [PDF]

Swarm Intelligence, 2017
Particle swarm optimisation (PSO) is a metaheuristic algorithm used to find good solutions in a wide range of optimisation problems. The success of metaheuristic approaches is often dependent on the tuning of the control parameters. As the algorithm includes stochastic elements that effect the behaviour of the system, it may be studied using the ...
Adam Erskine, Thomas Joyce, J. Michael Herrmann   +2 more
openaire   +1 more source

A polar coordinate particle swarm optimiser [PDF]

Applied Soft Computing, 2011
The Particle Swarm Optimisation (PSO) algorithm consists of a population (or swarm) of particles that are ''flown'' through an n-dimensional space in search of a global best solution to an optimisation problem. PSO operates in Cartesian space, producing Cartesian solution vectors.
Wiehann Matthysen, Andries P. Engelbrecht   +1 more
openaire   +1 more source

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, M. Ferenets, J. E. Morris, A. Krumme, S. Pavuluri, P. R. Rajaguru, M. P. Y. Desmulliez, C. Bailey   +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, Jianjun Yi, Yang Chen, Xiaomin Zhu, Zhiyong Dai   +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, Kai Yang, Xiaoqing Wang, Haisong Huang, Jiadui Chen   +4 more
doaj   +1 more source