TY - CONF
T1 - Elevator group supervisory control system using GNP with reinforcement learning based on normalized information
AU - Zhou, Jin
AU - Hirasawa, Kotaro
AU - Hu, Jinglu
AU - Markon, Sandor
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Since Genetic Network Programming (GNP) has been proposed as a new method of evolutionary computation, many studies have been done to its applications which cover not only virtual world problems but also real world systems like Elevator Group Supervisory Control System (EGSCS). In this paper, Reinforcement Learning is introduced to study its applicability and availability in the EGSCS based on the GNP structure with hall call assignment part embedded.
AB - Since Genetic Network Programming (GNP) has been proposed as a new method of evolutionary computation, many studies have been done to its applications which cover not only virtual world problems but also real world systems like Elevator Group Supervisory Control System (EGSCS). In this paper, Reinforcement Learning is introduced to study its applicability and availability in the EGSCS based on the GNP structure with hall call assignment part embedded.
KW - Elevator Group Supervisory Control System (EGSCS)
KW - Genetic Network Programming (GNP)
KW - Reinforcement Learning (RL)
UR - http://www.scopus.com/inward/record.url?scp=33645276246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33645276246&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:33645276246
SP - 74
EP - 79
T2 - SICE Annual Conference 2005
Y2 - 8 August 2005 through 10 August 2005
ER -