(Enter summary)
Abstract: Evolutionary computation in its essense represents
a multi-agent competitive probabilistic search. It
is useful for solutions of polynomial and hard optimization
problems. The solutions found by evolutionary algorithms
are not guaranteed to be optimal and evolutionary
search is computationally very expensive. Using a generic
$-calculus approach to AI, based on process algebras and
anytime algorithms, we show that evolutionary search can
be considered a special case of $-calculus
k\Omega... (Update)
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BibTeX entry: (Update)
Eberbach E., Evolutionary Computation as a MultiAgent Search: A $-Calculus Perspective for its Completeness and Optimality, Proc. 2001. http://citeseer.ist.psu.edu/eberbach01evolutionary.html More
@misc{ eberbach01evolutionary,
author = "E. Eberbach",
title = "Evolutionary Computation as a MultiAgent Search: A $-Calculus Perspective
for its Completeness and Optimality",
text = "Eberbach E., Evolutionary Computation as a MultiAgent Search: A $-Calculus
Perspective for its Completeness and Optimality, Proc. 2001.",
year = "2001",
url = "citeseer.ist.psu.edu/eberbach01evolutionary.html" }
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