Abstract: In Particle Swarm Optimizers (PSO), the way particles communicate plays an important role on their search behavior influencing the trade-off ...
The idea is that once particles move based on these interactions, the state of the swarm can be assessed by analyzing the network of these interactions,. i.e. ...
Aug 31, 2016 · We propose that the analysis of the particles interactions can be used to assess the swarm search mode, without the need for any particles ...
This paper presents the application of metaheuristic methods to the minimum crossing number problem for the first time. These algorithms including particle ...
Here we assess swarm intelligence techniques by examining the social interactions within the swarm. Do we really need to know about the particularities of ...
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Towards a network-based approach to analyze particle swarm optimizers. M Oliveira, CJA Bastos-Filho, R Menezes. 2014 IEEE Symposium on Swarm Intelligence, 1-8, ...
The applied ANN-PSO approaches can predict the optimal values satisfactorily with a maximum of 7.73% difference with the experimental values. Therefore, the ...
Jun 26, 2020 · Towards a network-based approach to analyze particle swarm optimizers. In 2014 IEEE Symposium on Swarm Intelligence. IEEE, 1--8. Crossref.
In this work, the inverse depletion problem is defined and solved using a surrogate-based approach equipped with the Particle Swarm Optimization algorithm.
May 24, 2020 · In this section, we present how to analyze the meso-level dynamics of a swarm-based algorithm using the interaction network. We select the PSO ...