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GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
14 years 12 days ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
EVOW
2003
Springer
13 years 11 months ago
Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems
The rough surface inverse scattering problem is approached with a combination of evolutionary strategies and the simplex method. The surface, assumed one-dimensional and perfectly ...
Demetrio Macías, Gustavo Olague, Eugenio R....
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
13 years 9 months ago
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...
Steffen Finck, Hans-Georg Beyer
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
13 years 7 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
GECCO
2004
Springer
120views Optimization» more  GECCO 2004»
13 years 11 months ago
Comparison of Selection Strategies for Evolutionary Quantum Circuit Design
Evolution of quantum circuits faces two major challenges: complex and huge search spaces and the high costs of simulating quantum circuits on conventional computers. In this paper ...
André Leier, Wolfgang Banzhaf