An alternative continuous particle swarm optimization model will be presented in order to improve the standard particle swarm optimization. The main idea is to extend the discrete formulation in the continuous time space describing the bird flying motion evolution as a continuous time function, solution of a Cauchy problem defined by a second order ordinary differential equation associated with random initial conditions. A convergence analysis of the algorithm will be presented as well as a comparison with the discrete algorithm in terms of performance and computational time.

Continuous particle swarm optimization

Orlando, Calogero;Ricciardello, Angela
2020

Abstract

An alternative continuous particle swarm optimization model will be presented in order to improve the standard particle swarm optimization. The main idea is to extend the discrete formulation in the continuous time space describing the bird flying motion evolution as a continuous time function, solution of a Cauchy problem defined by a second order ordinary differential equation associated with random initial conditions. A convergence analysis of the algorithm will be presented as well as a comparison with the discrete algorithm in terms of performance and computational time.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/148761
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact