Abstract
In this paper we show how tools based on extensions of Price's equation allow us to look inside production-level EAs to see how selection, representation, and reproductive operators interact with each other, and how these interactions affect EA performance. With such tools it is possible to understand at a deeper level how existing EAs work as well as provide support for making better design decisions involving new EC applications. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Bassett, J. K., Potter, M. A., & De Long, K. A. (2004). Looking under the EA hood with price’s equation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3102, 914–922. https://doi.org/10.1007/978-3-540-24854-5_92
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