Accelerated Particle Swarm Optimization (APSO)

Versione 2.0.0 (2,28 KB) da XS Yang
This demo shows how the accelerated particle swarm optimization works.
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Aggiornato 29 mar 2020

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The accelerated particle swarm optimization (APSO) uses only the global best
without individual best solutions and reduced randomness. This demo solves a function of D=30 dimensions.
It is straightforward to extend it to solve other functions and optimization problems.

The details can be found in the book: Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier Insights, (2014). https://www.sciencedirect.com/book/9780124167438/nature-inspired-optimization-algorithms

Cita come

XS Yang (2024). Accelerated Particle Swarm Optimization (APSO) (https://www.mathworks.com/matlabcentral/fileexchange/74766-accelerated-particle-swarm-optimization-apso), MATLAB Central File Exchange. Recuperato .

Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier Insights, (2014)

Compatibilità della release di MATLAB
Creato con R2007b
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Versione Pubblicato Note della release
2.0.0

This is an updated version.

1.0.0