publisher_address = "New York, NY, 10286-1405, USA",
month = "8-12 " # jul,
organisation = "ACM SIGEVO (formerly ISGEC)",
keywords = "genetic algorithms, genetic programming, Learning
Classifier Systems and other Genetics-Based Machine
Learning: Poster, evolutionary computation, ensemble
models, group selection, mate selection, measurement,
Price's equation, theory, machine learning",
size = "2 pages",
abstract = "an information theoretic perspective on design and
analysis of evolutionary algorithms is presented.
Indicators of solution quality are developed and
applied not only to individuals but also to ensembles,
thereby ensuring information diversity. Prices Theorem
is extended to show how joint indicators can drive
reproductive sampling rate of potential parental
pairings. Heritability of mutual information is
identified as a key issue",
notes = "GECCO-2006 A joint meeting of the fifteenth
international conference on genetic algorithms
(ICGA-2006) and the eleventh annual genetic programming
conference (GP-2006).