Does gamultiobj() return alternative solutions (different variables but same vector of objectives)?
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I am trying to enumerate alternative solutions by running the algorithm for additional generations. I see some, but I was wondering if this could be because there are very tiny numerical differences between objective vectors and the implementation only keep solutions with unique vector of objectives.
I know what the all the alternative solutions are, which I obtained from an exact (branch and bound) optimization solver, however I am not able to get all alternative solutions by running gamultiobj() for additional generations.
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Walter Roberson
am 1 Jun. 2017
gamultiobj() and ga() both operate probabilistically in part. They are not certain to encounter all of the "catch basins" of all of the solutions within any given timeframe.
If I recall correctly from what I read a fair number of years ago, Simulated Annealing is the only strategy that is considered to be certain to eventually find the global minima of an arbitrary function -- provided that you run it at a pretty high temperature and a very slow cooling rate. This can require centuries of computation.
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Opt User
am 1 Jun. 2017
Bearbeitet: Opt User
am 1 Jun. 2017
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Walter Roberson
am 1 Jun. 2017
To look at the code,
temp = which('-all','gamultiobjsolve');
edit( temp{1} )
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