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The 5th International Conference on Automation, Robotics and Applications, 2011
In this work we propose the Random Asynchronous PSO (RAPSO) algorithm, a rather simple but intuitive variant of the Asynchronous PSO (APSO) that introduces a randomized order in which particles share their information. Our algorithm, while conceived as serial in terms of execution, is able to model the behavior of the Parallel Asynchronous PSO (PAPSO ...
Juan Rada-Vilela +2 more
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In this work we propose the Random Asynchronous PSO (RAPSO) algorithm, a rather simple but intuitive variant of the Asynchronous PSO (APSO) that introduces a randomized order in which particles share their information. Our algorithm, while conceived as serial in terms of execution, is able to model the behavior of the Parallel Asynchronous PSO (PAPSO ...
Juan Rada-Vilela +2 more
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Applied Soft Computing, 2016
An evaluation index called "Control Strategy PSO" is developed.It can be applied to other intelligent algorithms.We present a detailed theoretical and empirical analysis. Many variants of particle swarm optimization (PSO) both enhance the performance of the original method and greatly increase its complexity.
Wei Zhang +4 more
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An evaluation index called "Control Strategy PSO" is developed.It can be applied to other intelligent algorithms.We present a detailed theoretical and empirical analysis. Many variants of particle swarm optimization (PSO) both enhance the performance of the original method and greatly increase its complexity.
Wei Zhang +4 more
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Comparison of PSO with the Hybrid Algorithms MOORA-PSO and DA-PSO for Decision Making
Advances in Modelling and Analysis B, 2023Ramírez-Ochoa Dynhora-Danheyda +2 more
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PSO-MoSR: a PSO-based multi-objective software remodularisation
International Journal of Bio-Inspired Computation, 2020Amarjeet Prajapati, Sanjeev Kumar
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The least square support vector regression (LSSVR) with the Gaussian kernel has two hyperparameters, sigma, $\sigma$, a bandwidth showing the spread of the kernel, and C, a regularization gauging the level of errors. In this paper, we want to systematically study how the hyperparameters are related to the LSSVR learning, thanks to the observation that ...
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19th Annual Computer Security Applications Conference, 2003. Proceedings., 2004
P.G. Neumann, R.J. Feiertag
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P.G. Neumann, R.J. Feiertag
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