Effacer les filtres
Effacer les filtres

How to use PSO (Particle swarm optimization) to optimize objective function containing two terms one of them kmeans clustering?

2 vues (au cours des 30 derniers jours)
Hi
I used PSO before to optimize an objective function.Now I have an objective(fitness) function containing two terms; one of them described by k-means clustering ..Euclidean distance?

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Walter Roberson
Walter Roberson le 19 Jan 2019
You have to pass a function handle as the objective function, but it does not have to be an anonymous function. You can pass the handle to a function that does extensive computation based on the inputs. The only requirement is that the output has to be a scalar.
If you are trying to minimize two distinct things simultaneously then you either need to decide their relative weighting to combine them into a scalar, or else you need to use gamultiobj() to find pareto fronts.
  14 commentaires
M.Shaarawy
M.Shaarawy le 22 Jan 2019
Dear Walter Roberson,
Is there is compact code after the description in the last two images?

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