- author = "W. B. Langdon",
- title = "Evolving Benchmarks",
- booktitle = "Proceedings of the Seventeenth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC 2005)",
- year = "2005",
- editor = "Katja Verbeeck and Karl Tuyls and Ann Nowe and Bernard Manderick and Bart Kuijpers",
- pages = "365--366",
- address = "Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, Brussel, Belgium",
- month = "17-18 " # oct,
- organisation = "BNVKI, Dutch and the Belgian AI Association",
- publisher = "Royal Flemish Academy of Belgium for Science and Arts, KVAB",
- keywords = "genetic algorithms, genetic programming, algorithm analysis, particle swarm optimisation, differential evolution",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_bnaic2005.pdf",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_bnaic2005.ps.gz",
- size = "2 pages",
- abstract = "Genetic programming (GP) is used to evolve global optimisation test problems. These automatically generated performance metrics are used to show strengths and weaknesses of Particle Swarm Optimization (PSO) and Differential Evolution (DE). Knowledge gained will help when choosing maximisers (and their tuning parameters) and in research into new search tools (which might include hyperheuristics).",
-
notes = "2 page summary of \cite{langdon:2005:CECb}
http://como.vub.ac.be/bnaic2005/
Described in BNVKI newsletter 22(6) p135.
",
