A Hybrid Genetic Programming Decision Making System for RoboCup Soccer Simulation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Tavafi:2017:GECCO,
-
author = "Amir Tavafi and Wolfgang Banzhaf",
-
title = "A Hybrid Genetic Programming Decision Making System
for {RoboCup} Soccer Simulation",
-
booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference",
-
series = "GECCO '17",
-
year = "2017",
-
isbn13 = "978-1-4503-4920-8",
-
address = "Berlin, Germany",
-
pages = "1025--1032",
-
size = "8 pages",
-
URL = "http://doi.acm.org/10.1145/3071178.3071194",
-
DOI = "doi:10.1145/3071178.3071194",
-
acmid = "3071194",
-
publisher = "ACM",
-
publisher_address = "New York, NY, USA",
-
keywords = "genetic algorithms, genetic programming, RoboCup,
decision making, multi-agent systems, soccer
simulation",
-
month = "15-19 " # jul,
-
abstract = "In this contribution we propose a hybrid genetic
programming approach for evolving a decision making
system in the domain of RoboCup Soccer (Simulation
League). Genetic programming has been rarely used in
this domain in the past, due to the difficulties and
restrictions of the soccer simulation. The real-time
requirements of robot soccer and the lengthy evaluation
time even for simulated games provide a formidable
obstacle to the application of evolutionary approaches.
Our new method uses two evolutionary phases, each of
which compensating for restrictions and limitations of
the other. The first phase produces some evolved GP
individuals applying an off-game evaluation system
which can be trained on snapshots of game situations as
they actually happened in earlier games, and
corresponding decisions tagged as correct or wrong. The
second phase uses the best individuals of the first
phase as input to run another GP system to evolve
players in a real game environment where the quality of
decisions is evaluated through winning or losing during
real-time runs of the simulator. We benchmark the new
system against a baseline system used by most
simulation league teams, as well as against winning
systems of the 2016 tournament.",
-
notes = "Also known as \cite{Tavafi:2017:HGP:3071178.3071194}
GECCO-2017 A Recombination of the 26th International
Conference on Genetic Algorithms (ICGA-2017) and the
22nd Annual Genetic Programming Conference (GP-2017)",
- }
Genetic Programming entries for
Amir Tavafi
Wolfgang Banzhaf
Citations