- author = "Christopher Lazarus and Huosheng Hu",
- title = "Using Genetic Programming to Evolve Behaviours",
- booktitle = "TIMR 01 - Towards Intelligent Mobile Robots",
- year = "2001",
- editor = "Ulrich Nehmzow and Chris Melhuish",
- address = "Manchester, UK",
- publisher_address = "UK",
- month = "5 " # apr,
- organisation = "Computer Science, University of Manchester",
- keywords = "genetic algorithms, genetic programming, Evolutionary Robotics, Wall-following.",
-
URL = "
http://apt.cs.manchester.ac.uk/ftp/pub/TR/UMCS-01-4-1.html",
-
URL = "
http://apt.cs.manchester.ac.uk/ftp/pub/TR/UMCS-01-4-1-lazarus.ps.Z",
-
URL = "
http://cswww.essex.ac.uk/staff/hhu/Papers/TIMR2001_Chris.pdf",
- size = "8 pages",
- abstract = "This paper presents the application of genetic programming (GP) to the task of evolving robot behaviours. The domain used here is the well-known wall-following problem. A set of programs were evolved that can successfully perform wall-following behaviours. The experiments involving different wall shapes were designed and implemented to investigate whether the solutions offered by GP are scalable. Experimental results show that GP is able to automatically produce algorithms for wall-following tasks. In addition, more complex wall shapes were introduced to verify that they do not affect our GP implementation detrimentally.",
-
notes = "Aim to target RoboCup, robot football,
soccer.
Proceedings British Conference on Autonomous Mobile Robotics & Autonomous Systems, 2001
Proceedings available as Technical Report UMCS-01-4-1 of the Computer Science department of the University of Manchester UMCS-01-4-1
Also known as TAROS 2001 http://www.cs.ox.ac.uk/conferences/TAROS2013/past.html",
