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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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 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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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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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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A novel particle swarm optimisation with mutation breeding
Connection Science, 2020 The diversity of the population is a key factor for particle swarm optimisation (PSO) when dealing with most optimisation problems. The best previously visited positions of each particle are the exemplar in PSO to guide particle swarm to search, and the ...
Zhe Liu, Fei Han, Qing-Hua Ling
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Particle Swarm Optimisation: A Historical Review Up to the Current Developments [PDF]
Entropy, 2020 Fernando Morgado Dias +2 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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On the scalability of particle swarm optimisation [PDF]
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008 Particle swarm has proven to be competitive to other evolutionary algorithms in the field of optimization, and in many cases enables a faster convergence to the ideal solution. However, like any optimization algorithm it seems to have difficulties handling optimization problems of high dimension.
Sébastien Piccand +2 more
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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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