Created by W.Langdon from gp-bibliography.bib Revision:1.8081
The aim of the tutorial is to give a comprehensive overview of semantic methods in genetic programming, illustrate in an accessible way a formal geometric framework for program semantics to design provably good mutation and crossover operators for traditional GP problem domains, and to analyse rigorously their performance (runtime analysis). A number of real-world applications of this framework will be also presented. Other promising emerging approaches to semantics in GP will be reviewed. In particular, the recent developments in the behavioural programming, which aims at characterizing the entire program behaviour (and not only program outputs) will be covered as well. Current challenges and future trends in semantic GP will be identified and discussed.
Selected methods and concepts will be accompanied with live software demonstrations. Also, efficient implementation of semantic search operators may be challenging. We will illustrate very efficient, concise and elegant implementations of these operators, which are available for download from the web.",
Genetic Programming entries for Alberto Moraglio Krzysztof Krawiec