A Synchronous-Asynchronous Particle Swarm Optimisation Algorithm [PDF]
The Scientific World Journal, 2014 In the original particle swarm optimisation (PSO) algorithm, the particles’ velocities and positions are updated after the whole swarm performance is evaluated. This algorithm is also known as synchronous PSO (S-PSO).
Nor Azlina Ab Aziz +3 more
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Directionally-Enhanced Binary Multi-Objective Particle Swarm Optimisation for Load Balancing in Software Defined Networks [PDF]
Sensors, 2021 Various aspects of task execution load balancing of Internet of Things (IoTs) networks can be optimised using intelligent algorithms provided by software-defined networking (SDN).
Mustafa Hasan Albowarab +2 more
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Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions [PDF]
The Scientific World Journal, 2013 The Vector Evaluated Particle Swarm Optimisation algorithm is widely used to solve multiobjective optimisation problems. This algorithm optimises one objective using a swarm of particles where their movements are guided by the best solution found by ...
Kian Sheng Lim +6 more
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Adaptive multifactorial particle swarm optimisation
CAAI Transactions on Intelligence Technology, 2019 Existing multifactorial particle swarm optimisation (MFPSO) algorithms only explore a relatively narrow area between the inter-task particles. Meanwhile, these algorithms use a fixed inter-task learning probability throughout the evolution process ...
Zedong Tang, Maoguo Gong
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Set-Based Particle Swarm Optimisation: A Review
Mathematics, 2023 The set-based particle swarm optimisation algorithm is a swarm-based meta-heuristic that has gained popularity in recent years. In contrast to the original particle swarm optimisation algorithm, the set-based particle swarm optimisation algorithm is used
Jean-Pierre van Zyl +1 more
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Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation
Mendel, 2022 Advanced optimisation of the aerofoil wing of a general aircraft is the main subject of this paper. Meta-heuristic optimisation techniques, especially swarm algorithms, were used.
Jan Muller
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A conditional opposition-based particle swarm optimisation for feature selection
Connection Science, 2022 Because of the existence of irrelevant, redundant, and noisy attributes in large datasets, the accuracy of a classification model has degraded. Hence, feature selection is a necessary pre-processing stage to select the important features that may ...
Jingwei Too +2 more
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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 +3 more
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Particle swarm optimisation strategies for IOL formula constant optimisation
Acta Ophthalmologica, 2023 AbstractPurposeTo investigate particle swarm optimisation (PSO) as a modern purely data driven non‐linear iterative strategy for lens formula constant optimisation in intraocular lens power calculation.MethodsA PSO algorithm was implemented for optimising the root mean squared formula prediction error (rmsPE, defined as achieved refraction minus ...
Achim Langenbucher +4 more
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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
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