- author = "Krzysztof Krawiec",
- title = "Semantically embedded genetic programming: automated design of abstract program representations",
- booktitle = "GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation",
- year = "2011",
- editor = "Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger",
- isbn13 = "978-1-4503-0557-0",
- pages = "1379--1386",
- keywords = "genetic algorithms, genetic programming",
- month = "12-16 " # jul,
- organisation = "SIGEVO",
- address = "Dublin, Ireland",
-
DOI = "
doi:10.1145/2001576.2001762",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "We propose an alternative program representation that relies on automatic semantic-based embedding of programs into discrete multidimensional spaces. An embedding imposes a well-structured hypercube topology on the search space, endows it with a semantic-aware neighborhood, and enables convenient search using Cartesian coordinates. The embedding algorithm consists in locality-driven optimization and operates in abstraction from a specific fitness function, improving locality of all possible fitness landscapes simultaneously. We experimentally validate the approach on a large sample of symbolic regression tasks and show that it provides better search performance than the original program space. We demonstrate also that semantic embedding of small programs can be exploited in a compositional manner to effectively search the space of compound programs.",
-
notes = "Surjective
Also known as \cite{2001762} GECCO-2011 A joint meeting of the twentieth international conference on genetic algorithms (ICGA-2011) and the sixteenth annual genetic programming conference (GP-2011)",
