- author = "Maxim Buzdalov and Andrey Sokolov",
- title = "Evolving EFSMs solving a path-planning problem by genetic programming",
- booktitle = "GECCO 2012 Graduate Students Workshop",
- year = "2012",
- editor = "Alison Motsinger-Reif",
- isbn13 = "978-1-4503-1178-6",
- keywords = "genetic algorithms, genetic programming",
- pages = "591--594",
- month = "7-11 " # jul,
- organisation = "SIGEVO",
- address = "Philadelphia, Pennsylvania, USA",
-
DOI = "
doi:10.1145/2330784.2330880",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "In this paper, we present an approach to evolving of an algorithm encoded as an extended finite-state machine that solves a simple path-planning problem - finding a path in an unknown area filled with obstacles using a constant amount of memory - by means of genetic programming. Experiments show that in 100percent of cases a reasonably correct EFSM with behavior similar to one of the BUG algorithms is evolved.",
-
notes = "Also known as \cite{2330880} Distributed at
GECCO-2012.
ACM Order Number 910122.",
