Genetic Network Programming with Updating Rule Accumulation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Wang:2011:GNPwURA,
-
title = "Genetic Network Programming with Updating Rule
Accumulation",
-
author = "Lutao Wang and Shingo Mabu and Kotaro Hirasawa",
-
pages = "2259--2266",
-
booktitle = "Proceedings of the 2011 IEEE Congress on Evolutionary
Computation",
-
year = "2011",
-
editor = "Alice E. Smith",
-
month = "5-8 " # jun,
-
address = "New Orleans, USA",
-
organization = "IEEE Computational Intelligence Society",
-
publisher = "IEEE Press",
-
ISBN = "0-7803-8515-2",
-
keywords = "genetic algorithms, genetic programming, genetic
network programming, Evolutionary computation theory,
Evolutionary simulation-based optimisation,
Evolutionary games and multi-agent systems",
-
DOI = "doi:10.1109/CEC.2011.5949895",
-
abstract = "Conventional evolutionary computation methods aim to
find elite individuals as the optimal solutions. The
rule accumulation method tries to find good experiences
from individuals throughout the generations and store
them as decision rules, which is regarded as solutions.
Genetic Network Programming (GNP) is competent for
dynamic environments because of its directed graph
structure, reusability of nodes and partially
observable processes. A GNP based rule accumulation
method has been studied and applied to the stock
trading problem. However, with the changing of dynamic
environments, the old rules in the rule pool are
incompetent for guiding new agent's actions, thus
updating these rules becomes necessary. This paper
proposes a new method to update the accumulated rules
in accordance with the environment changes. Sarsa-
learning which is a good on-line learning policy is
combined with off-line evolution to generate better
individuals and update the rules in the rule pool.
Tileworld problem which is an excellent benchmark for
multi-agent systems is used as the simulation
environment. Simulation results demonstrate the
efficiency and effectiveness of the proposed method in
dealing with the changing environments.",
-
notes = "CEC2011 sponsored by the IEEE Computational
Intelligence Society, and previously sponsored by the
EPS and the IET.",
- }
Genetic Programming entries for
Lutao Wang
Shingo Mabu
Kotaro Hirasawa
Citations