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101 lines
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From spamassassin-devel-admin@lists.sourceforge.net Sun Sep 22 00:47:04 2002
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spamassassin-devel@lists.sourceforge.net; Sat, 21 Sep 2002 19:41:49 -0400
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21E8791DC7; Sat, 21 Sep 2002 16:41:49 -0700 (PDT)
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From: bugzilla-daemon@hughes-family.org
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Message-Id: <20020921234149.21E8791DC7@belphegore.hughes-family.org>
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Subject: [SAdev] [Bug 1012] negate directive addition
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X-Original-Date: Sat, 21 Sep 2002 16:41:49 -0700 (PDT)
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Date: Sat, 21 Sep 2002 16:41:49 -0700 (PDT)
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tests=AWL,BUGZILLA_BUG,FORGED_RCVD_TRAIL,KNOWN_MAILING_LIST,
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http://www.hughes-family.org/bugzilla/show_bug.cgi?id=1012
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------- Additional Comments From easmith@beatrice.rutgers.edu 2002-09-21 16:41 -------
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I like this idea, but from my reading - part of my dissertation research -
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on GAs (or, in this case, more precisely "Evolutionary Programming", since
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the parameters are non-binary and the major operator is mutation, not
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crossover), you do need to keep in mind that the more interactions there are
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between different variables, the better-tweaked the GA/EA will need to be,
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especially to avoid local optima (which may have been the problem with the
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suspiciously-high "anti-ratware" USER_AGENT scores). From past results,
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what's needed are one or more of the below:
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A. Determine mutational parameters by adapted-scores themselves,
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with variation on a per-original score basis; ideally, allow
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for having "correlated" mutations - in other words, have a
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mechanism in place for trying out changes to a bunch of scores at
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once, with them all moving about the same amount (albeit possibly
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in different directions) - one means to do this is found in the
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"Evolutionary Strategies" of Schwefel;
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B. Adapt the probability of a mutation taking place depending on how
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well previous mutation tries have done - if more than about a
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fifth of the new "individuals" are doing about as well as, or
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better than, the parental generation, then mutate more
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parameters; if less than a fifth of them are doing about as well
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as, or better than, the parental generation, then mutate less
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parameters.
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-Allen
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