Hello Marcus, > Do you mean something like "COPSO: Constrained Optimization via PSO > algorithm" > by A. H. Aguirre et al.?
I was actually referring to constraint handling techniques, like section 3 of the paper you mentioned covers (I guess the question was poorly phrased, my bad). That being said, this paper actually turned out to be quite useful because: 1. It covers a few constraint handling techniques, which I can dig deeper into. 2. From the paper: "He and Prempain used a “fly-back” mechanism that returns an unfeasible particle to its previous feasible position [23]. An important drawback of this technique is the requirement of an all-feasible initial population." This flyback mechanism is exactly what the MOPSO paper suggested to handle constraints, so I might also have to look into improvements on that. Thanks for the help! Regards, Chintan _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
