Thread View: comp.ai.genetic
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Started by Jeffrey B Kane
Mon, 25 Jan 1993 15:32
Sharing
Author: Jeffrey B Kane
Date: Mon, 25 Jan 1993 15:32
Date: Mon, 25 Jan 1993 15:32
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I was wondering if anyone had any good references on sharing when working
with the multimodal optimization problems I've been using some of the
concepts presented in Goldberg's book, but there is a big problem with a
combinatorial explosion in comparative operators (negating
the speed improvements you get with GAs). My problem involoves non-binary
string populations so I really need to find an efficient way of finding
highly correlated strings.
Jeffrey
======================================
Jeffrey Kane, MD
Kane Biomedical Systems
Boston, MA
Internet jbk@world.std.com
Compuserve 74206,640
AppleLink D0738
[Don't take life too seriously... it's not like anyone gets out of it alive.]
Re: Sharing
Author: Michael Turner nmscore Assoc.
Date: Wed, 27 Jan 1993 02:44
Date: Wed, 27 Jan 1993 02:44
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In article <C1F1uu.HI8@world.std.com> jbk@world.std.com (Jeffrey B Kane) writes: > >I was wondering if anyone had any good references on sharing when working >with the multimodal optimization problems I've been using some of the >concepts presented in Goldberg's book, but there is a big problem with a >combinatorial explosion in comparative operators (negating >the speed improvements you get with GAs). My problem involoves non-binary >string populations so I really need to find an efficient way of finding >highly correlated strings. Are you doing sequence comparison to determine what is "highly correlated"? There is a lot of work in this area, much of it inspired by chromosome- comparison. The algorithms are still expensive (O(n*m) to compare two sequences of length m and n; though I think there are some good speed-up heuristics.) --- Michael Turner miket@tcs.com
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