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177
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GECCO
2007
Springer
16 years 25 days ago
2007
Springer
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
148
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GECCO
2007
Springer
16 years 25 days ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
173
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GECCO
2007
Springer
16 years 25 days ago
2007
Springer
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
165
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GECCO
2007
Springer
16 years 25 days ago
2007
Springer
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
171
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GECCO
2007
Springer
16 years 25 days ago
2007
Springer
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...