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Re: genetic algorithms for crypto analysis
It has been noted in this thread that a good crypto algorithm would
require an attacker to locate a single spike in a problem space, rather
than having to climb a hill (which is, of course, much easier).
I recall reading (I think in Sci. Am.) that a theory under investigation
now as to why nature has sexual reproduction as part of its repertoire
is that this gives a solution-seeking population a better opportunity to
located spikey solutions.
From the point of view of genetic algorithms, sexual reproduction means
that each offspring must be generated from two members of the existing
population, each of which contributes half the information needed to
generate the offspring. In theory, this maintains a population that
is spread over a wider terrain, and is thus more likely to find the
I don't know if such a strategy would help at all in crypto analysis,
or whether any genetic algorithm programs currently in use employ this
| (V) | "Tiger gotta hunt. Bird gotta fly.
| (^ (`> | Man gotta sit and wonder why, why, why.
| ((\\__/ ) | Tiger gotta sleep. Bird gotta land.
| (\\< ) der Nethahn | Man gotta tell himself he understand."
| \< ) |
| ( / | Kurt Vonnegut Jr.
| | |
| ^ |