Evolving Effective Visual Tracking through Shaping

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{perkins:1999:EEVTS,

• author = "Simon Perkins",
• title = "Evolving Effective Visual Tracking through Shaping",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
• year = "1999",
• editor = "Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith",
• volume = "2",
• pages = "1156--1161",
• address = "Orlando, Florida, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "13-17 " # jul,
• publisher = "Morgan Kaufmann",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-55860-611-4",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-458c.pdf",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-458c.ps",
• size = "9 pages",
• abstract = "Shaping is a way in which a human designer can provide assistance to a learning system to enable it to solve problems that would otherwise defeat it. Results are presented showing that shaping can significantly improve the - final performance of controllers evolved for a difficult visual tracking task. Controllers are developed in simulation and then transferred to a real robot head.",
• notes = "GECCO-99 A joint meeting of the eighth international conference on genetic algorithms (ICGA-99) and the fourth annual genetic programming conference (GP-99)",

}

Genetic Programming entries for Simon Perkins

Citations