- title = "The Automatic Generations of Plans for a Mobile Robot via Genetic Programming with Automatically Defined Functions",
- author = "Simon G. Handley",
- booktitle = "Advances in Genetic Programming",
- publisher = "MIT Press",
- editor = "Kenneth E. {Kinnear, Jr.}",
- year = "1994",
- chapter = "18",
- pages = "391--407",
- keywords = "genetic algorithms, genetic programming",
- size = "17 pages",
- broken = "http://www-leland.stanford.edu/~shandley/postscript/kinnear.ps.gz",
-
URL = "
http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888",
-
URL = "
http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap18.pdf",
- abstract = "Planning is the creation of programs to control an agent, such as a robot. Traditionally, planners have maintained a logical model of the agent's world and planned by reasoning about what plans do to that world. In this chapter I describe a new planner, the Genetic Planner, that uses artificial selection, sexual mixing (recombination) and fitness proportionate reproduction to breed computer programs (i.e., to plan). This planner uses a simulation of the world to execute candidate computer programs (i.e., candidate plans). I first describe this planner and then I show it at work on a simple problem---a robot on a 2-D grid. Also, Koza's Automatically Defined Functions (ADFs) are used and the results compared with the non-ADF genetic programming system.",
-
notes = "
Move about 49 by 49 world, move boxes, fails to switch on light. Describes Genetic Planner (=GP plus fitness function based upon hiow close to succeeding multiple predicates are)
",
