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Trajectory control of electro-hydraulic position servo system using improved PSO-PID controller
Automation in Construction, 2021This paper presents an improved particle swarm optimization (PSO) algorithm to optimize the coefficients of the proportional integral derivative (PID) controller for trajectory tracking accuracy problems.
Hao Feng, Ma Wei, C. Yin, Donghui Cao
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A conceptual and practical comparison of PSO-style optimization algorithms
Expert systems with applications, 2021Optimization algorithms are widely employed for finding optimal solutions in many applications. Stochastic optimization algorithms including nature-inspired optimization algorithms are simple and easy to implement, and this is the reason why there is a ...
Alaa Tharwat, Wolfram Schenck
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Future generations computer systems, 2021
It is vital to balance the computation and communication load for the satisfactory performance of large-scale parallel and distributed simulations deployed on shared resources in a cloud computing environment.
Miao Zhang +4 more
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It is vital to balance the computation and communication load for the satisfactory performance of large-scale parallel and distributed simulations deployed on shared resources in a cloud computing environment.
Miao Zhang +4 more
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Effect of the PSO Topologies on the Performance of the PSO-ELM
2012 Brazilian Symposium on Neural Networks, 2012In recent years, the Extreme Learning Machine (ELM) has been hybridized with the Particle Swarm Optimization (PSO). This hybridization is named PSO-ELM. In most of these hybridizations, the PSO uses the global topology. However, other topologies were designed to improve the performance of the PSO.
Elliackin M. N. Figueiredo +1 more
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Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage converged swarms to engage in exploration. While simple to implement, effective when tuned correctly, and benefiting from intuitive appeal, SEPSO behavior can be improved by ...
Christopher K. Monson, Kevin D. Seppi
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Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage converged swarms to engage in exploration. While simple to implement, effective when tuned correctly, and benefiting from intuitive appeal, SEPSO behavior can be improved by ...
Christopher K. Monson, Kevin D. Seppi
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Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), 2004
In contrast to optimization techniques intended to find a single, global solution in a problem domain, niching (speciation) techniques have the ability to locate multiple solutions in multimodal domains. Numerous niching techniques have been proposed, broadly classified as temporal (locating solutions sequentially) and parallel (multiple solutions are ...
R. Brits +2 more
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In contrast to optimization techniques intended to find a single, global solution in a problem domain, niching (speciation) techniques have the ability to locate multiple solutions in multimodal domains. Numerous niching techniques have been proposed, broadly classified as temporal (locating solutions sequentially) and parallel (multiple solutions are ...
R. Brits +2 more
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, 2021
An accurate model is developed for predicting the energy efficiency of a single-slope solar still equipped with thermoelectric modules. Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) enhanced by Particle Swarm ...
M. Bahiraei, S. Nazari, H. Safarzadeh
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An accurate model is developed for predicting the energy efficiency of a single-slope solar still equipped with thermoelectric modules. Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) enhanced by Particle Swarm ...
M. Bahiraei, S. Nazari, H. Safarzadeh
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An intelligent PSO watermarking
2010 International Conference on Machine Learning and Cybernetics, 2010Meerwald et. al. [2] revealed that the method proposed in [1] exists potential insecurity. This paper proposes an intelligent watermarking by invoking particle swarm optimization (PSO) technique in wavelet domain to overcome the revealed insecurity issue, furthermore resolve the conflict between imperceptibility and robustness of watermarking ...
Yuh-Rau Wang +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
openaire +1 more source
On Trajectories of Particles in PSO
2007 IEEE Swarm Intelligence Symposium, 2007The moving behaviour of the particles in particle swarm optimization (PSO) algorithms is studied in this paper. It is shown that particles in standard PSO have a clear bias in their movement direction that depends on the direction of the coordinate axes.
Stefan Janson, Martin Middendorf
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