How to use PSO (Particle swarm optimization) to optimize objective function containing two terms one of them kmeans clustering?
1 view (last 30 days)
Show older comments
M.Shaarawy
on 18 Jan 2019
Commented: M.Shaarawy
on 22 Jan 2019
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?
0 Comments
Accepted Answer
Walter Roberson
on 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 Comments
More Answers (0)
See Also
Categories
Find more on Particle Swarm in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!