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Jun 6, 2019 at 7:54 comment added spaced Thanks, I'm familiar with the tutorial. The optimizer needs to explore a fitness landscape that I suspect is very rough and discrete. There may be multiple maxima with the same fitness value. In some known cases I've tested, it quits before finding any of these maxima. I want it to keep looking indefinitely (hopefully more intelligently than a random search) and when it finds a maximum (sinceI know what it's fitness value will be - what I'm looking for are the optimal input values) it can then exit.
Jun 6, 2019 at 7:41 comment added Szabolcs You'll find the list of available methods and their sub-options here: reference.wolfram.com/language/tutorial/…
Jun 6, 2019 at 7:38 comment added Szabolcs Can you explain what you actually want to achieve? meta.stackexchange.com/q/66377/164803
Jun 6, 2019 at 4:35 comment added march It doesn't really make sense to force it to compute for a certain amount of time, but you can force it do more iterations by adding the option MaxIterations -> 10000 or something.
Jun 6, 2019 at 4:25 review Low quality posts
Jun 6, 2019 at 5:33
Jun 6, 2019 at 4:08 history asked spaced CC BY-SA 4.0