Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
The evolution of evolvability in genetic programming
Advances in genetic programming
Foundations of genetic programming
Foundations of genetic programming
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
The equation for response to selection and its use for prediction
Evolutionary Computation
Using multivariate quantitative genetics theory to assist in EA customization
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms
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Several researchers have used Price's equation (from biology theory literature) to analyze the various components of an Evolutionary Algorithm (EA) while it is running, giving insights into the components contributions and interactions. While their results are interesting, they are also limited by the fact that Price's equation was designed to work with the averages of population fitness. The EA practitioner, on the other hand, is typically interested in the best individuals in the population, not the average.In this paper we introduce an approach to using Price's equation which instead calculates the upper tails of population distributions. By applying Price's equation to EAs that use survival selection instead of parent selection, this information is calculated automatically.