On Tuesday, October 8, 2002, at 04:18 PM, David Vaughan wrote:
> Can you reduce those formulae ultimately to a single score (which may > be a weighted combination of sub-scores)? If so, it sounds to me that > a GA could do what you want and it is not difficult to implement in > Rev. GAs are especially good at munging multiple issues, just so long > as, eventually, you can single-score a solution. Mixing score > weightings to achieve that is something you can do with user controls > rather than embedding, if you are unsure of what the weightings should > be. Genetic algorithms are mainly useful for function optimization problems, I think. This problem is really perfect for an expert system because it's, well, an expert system. :-) A bunch of heuristics, rules-of-thumb, which when you apply them to set of data set it outputs some recommendations recommendations. Stuff like "If you employ spatula repair persons, then you get a spatula repair bay. If the facility is in a snowy clime, you get an indoor spatula repair bay with kitchenette. If not in a snowy clime, you get an outdoor spatula repair bay. You get a small, medium or large spatula repair bay if .... etc." Alex Rice, Software Developer Architectural Research Consultants, Inc. [EMAIL PROTECTED] [EMAIL PROTECTED] _______________________________________________ use-revolution mailing list [EMAIL PROTECTED] http://lists.runrev.com/mailman/listinfo/use-revolution
