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10

GECCO
2008
Springer

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The directional EDA for global optimization

13 years 5 months ago

The directional EDA for global optimization

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This article presents a robust EDA for global optimization with real parameters. The approach is based on the linear combination of individuals of two populations. One is the current population Pt, from which a probability density model is created and a new population Ps is simulated. The new population Pt+1 is a linear combination of Pt and Ps. The linear combination factor involved is self-adaptive. Categories and Subject Descriptors: J.2[Physical Sciences and Engineering]Mathematics and Statistics General Terms: Algorithms, Design, Performance.

Pedro P. Mayorga-Alvarez, Arturo Hernández

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Current Population Pt | GECCO 2008 | Linear Combination | Linear Combination Factor | Optimization |

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Added	09 Nov 2010
Updated	09 Nov 2010
Type	Conference
Year	2008
Where	GECCO
Authors	Pedro P. Mayorga-Alvarez, Arturo Hernández Aguirre

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