DE is a very simple population based, stochastic function minimizer which is very powerful at the...
| Date | Contributor | Description | Rating |
|---|---|---|---|
| 3 Jan 2012 | Paulo Buchsbaum |
It's one of the most powerful global optimization method for very complex problems with or without constraints.
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5 |
| 19 Jun 2009 | MATLAB Central Team |
DE is a very simple population based, stochastic function minimizer which is very powerful at the same time. The crucial idea behind DE is a scheme for generating trial parameter vectors. Basically, DE adds the weighted difference between two population vectors to a third vector. This way no separate probability distribution has to be used which makes the scheme completely self-organizing. |
| Tag | Applied By | Date/Time |
|---|---|---|
| optimization | Kanhaiya | 7 May 2012 at 10:00am |
| optimization | Chris | 8 Feb 2012 at 1:50pm |
| optimization | Priyadarshee | 27 Apr 2010 at 4:12am |
| optimization | MATLAB Central Team | 19 Jun 2009 at 10:19am |