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What and Who

Minisymposium Evolutionary Algorithms: Crossover is Provably Useful in Evolutionary Computation

Edda Happ
Max-Planck-Institut für Informatik - D1
Talk
AG 1, AG 3, AG 5, RG2, AG 2, AG 4, RG1, SWS  
MPI Audience
English

Date, Time and Location

Tuesday, 12 June 2007
14:30
-- Not specified --
E1 4
021
Saarbrücken

Abstract

We present a genetic algorithm for the all-pairs shortest path problem that uses both mutation and crossover. A rigorous runtime analysis shows that the use of crossover significantly improves the optimization time of the algorithm from $\Theta(n4)$ to $O(n^{3.5+\epsilon})$. This is the first rigorous analysis showing the usefulness of crossover for a non-artificial problem.

Contact

Frank Neumann
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Frank Neumann, 06/05/2007 14:40
Frank Neumann, 05/29/2007 12:36 -- Created document.