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216
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GECCO
2004
Springer
16 years 1 months ago
2004
Springer
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
191
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GECCO
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...
207
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ICARIS
2004
Springer
16 years 1 months ago
2004
Springer
Proteins are the driving force in development (embryogenesis) and the immune system. Here we describe how a model of proteins designed for evolutionary development in computers can...
187
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GECCO
2003
Springer
16 years 28 days ago
2003
Springer
Evolutionary algorithms applied to dynamic optimization problems has become a promising research area. So far, all papers in the area have assumed that the environment changes only...
162
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GECCO
2003
Springer
16 years 28 days ago
2003
Springer
It is clear from the study of complex non-linear systems in general, and evolutionary algorithms (EAs) in particular, that there is no single analysis tool or technique capable of ...