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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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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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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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NSC-PSO, a Novel PSO Variant without Speeds and Coefficients
2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2015The paper is introducing the principles of a new global optimization method, No Speeds and Coefficients Particle Swarm Optimization (NSC-PSO), applied to approaching the Continuous Global Optimization Problem (CGOP). Inspired from existing meta-heuristic optimization methods in the Swarm Intelligence (SI) class, like canonical Particle Swarm ...
George Anescu, Ilie Prisecaru
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An improved rotationally invariant PSO: A modified standard PSO-2011
2016 IEEE Congress on Evolutionary Computation (CEC), 2016Particle swarm optimization (PSO) is a stochastic population-based algorithm that is designed for real-parameter optimization problems. PSO is simple and powerful algorithm, and is applied to many real world problems. However, because the bias of the search area exists in the conventional PSO, the search performance is deteriorated in non-separable ...
Yosuke Hariya +2 more
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Comparative study of random-PSO and Linear-PSO algorithms
2012 International Conference on Computer & Information Science (ICCIS), 2012This paper presents a Linear-Particle Swarm Optimization (PSO) algorithm for discovering motifs in DNA sequences, and the strengths and weaknesses of using the Linear-PSO for discovering motifs of DNA sequences will be discussed. For the experiment, ten DNA sequences from an online database were used as an input for the algorithms.
Sharifah Lailee Syed Abdullah +3 more
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Impact of Ant Size on Ant Supervised by PSO, AS-PSO, Performances
2017AS-PSO, ANT Supervised by PSO is hybrid hierarchical metaheuristic optimization method where PSO optimizes ANT parameters to enhance its performances. In this paper, a focus is made on the impact of the ACO swarm size on AS-PSO performances for the Traveling Salesmen Problem (TSP) where AS-PSO is already known as a relevant solver.
Sonia Kefi, Nizar Rokbani, Adel M. Alimi
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2023
Particle Swarm Optimization of 3D Printing Parameters on Open-Source Commercial 3D ...
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Particle Swarm Optimization of 3D Printing Parameters on Open-Source Commercial 3D ...
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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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MOEA/D with DE and PSO: MOEA/D-DE+PSO
2011Hybridization is one of the important research area in evolutionary multiobjective optimization (EMO).It is a method that incorporate good merits of multiple techniques aim at to enhance the search ability of EMO algorithm. In this chapter, we combine two well-known search algorithms, DE and PSO, and developed algorithm known as MOEA/D-DE+PSO.
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