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Metaheuristics in Physical Processes Optimization

  • Tomasz RybotyckiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 945)

Abstract

The subject of this work is applying the artificial neural network (ANN) taught using two metaheuristics - the firefly algorithm (FA) and properly prepared evolutionary algorithm (EA) - to find the approximate solution of the Wessinger’s equation, which is a nonlinear, first order, ordinary differential equation. Both methods were compared as an ANN training tool. Then, application of this method in selected physical processes is discussed.

Keywords

Evolutionary algorithm Firefly algorithm Neural network Wessinger’s equation 

Notes

Acknowledgments

This work was supported by the Systems Research Institute of the Polish Academy of Sciences and is extended version of paper presented at 3rd Conference on Information Technology, Systems Research and Computational Physics, 2–5 July 2018, Cracow, Poland [21].

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Centre of Information Technology for Data Analysis MethodsSystems Research Institute, Polish Academy of SciencesWarsawPoland

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