- author = "Julian Togelius and Renzo {De Nardi} and Alberto Moraglio",
- title = "Geometric PSO + GP = Particle Swarm Programming",
- booktitle = "Proceedings of the IEEE World Congress on Computational Intelligence",
- year = "2008",
- editor = "Jun Wang",
- pages = "3594--3600",
- address = "Hong Kong",
- month = "1-6 " # jun,
- organisation = "IEEE Computational Intelligence Society",
- publisher = "IEEE Press",
- isbn13 = "978-1-4244-1823-7",
- file = "EC0771.pdf",
- keywords = "genetic algorithms, genetic programming, PSO",
-
URL = "
http://julian.togelius.com/Togelius2008Geometric.pdf",
-
DOI = "
doi:10.1109/CEC.2008.4631284",
- size = "7 pages",
- abstract = "Geometric particle swarm optimisation (GPSO) is a recently introduced formal generalisation of traditional particle swarm optimization (PSO) that applies naturally to both continuous and combinatorial spaces. In this paper we apply GPSO to the space of genetic programs represented as expression trees, uniting the paradigms of genetic programming and particle swarm optimisation. The result is a particle swarm flying through the space of genetic programs. We present initial experimental results for our new algorithm.",
-
notes = "Santa Fe ant, sextic polynomial
CEC 2008 - A joint meeting of the IEEE, the EPS, and the IET. WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.
INSPEC Accession Number: 10250984",
