Abstract
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.
| Original language | English |
|---|---|
| Pages | 74-79 |
| Number of pages | 6 |
| Publication status | Published - 2005 Dec 1 |
| Event | SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10 |
Conference
| Conference | SICE Annual Conference 2005 |
|---|---|
| Country/Territory | Japan |
| City | Okayama |
| Period | 05/8/8 → 05/8/10 |
Keywords
- Elevator Group Supervisory Control System (EGSCS)
- Genetic Network Programming (GNP)
- Reinforcement Learning (RL)
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering