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2017 | OriginalPaper | Buchkapitel

Exponential Inertia Weight in Particle Swarm Optimization

verfasst von : Bożena Borowska

Erschienen in: Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part IV

Verlag: Springer International Publishing

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Abstract

This paper presents an improved particle swarm optimization algorithm (EWPSO) with a novel strategy for inertia weight. In the new algorithm, nonlinear inertia weight is proposed. The new weight is an exponential function of the minimal and maximal fitness of the particles in each iteration. The set of benchmark function was used to test the new method. The results were compared with those obtained through the standard PSO with linear decreasing inertia weight (LDW-PSO) and RNW-PSO. Simulation results showed that EWPSO is more effective for the tested problems than both LDW-PSO and RNW-PSO.

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Titel: Exponential Inertia Weight in Particle Swarm Optimization
verfasst von: Bożena Borowska
Verlag: Springer International Publishing
Buch: Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part IV
Print ISBN: 978-3-319-46591-3

Electronic ISBN: 978-3-319-46592-0

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-46592-0_23

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