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13

GECCO
2003
Springer

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Coevolutionary Convergence to Global Optima

13 years 9 months ago

Coevolutionary Convergence to Global Optima

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We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is shown for the ﬁrst time that coevolutionary arms races yielding global optima can be implemented successfully in a procedure similar to simulated annealing.

Lothar M. Schmitt

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Coevolutionary Setting | GECCO 2003 | Global Optima | Scaled Genetic Algorithm |

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Added	06 Jul 2010
Updated	06 Jul 2010
Type	Conference
Year	2003
Where	GECCO
Authors	Lothar M. Schmitt

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