Elevator group supervisory control system using GNP with reinforcement learning based on normalized information

Jin Zhou, Kotaro Hirasawa, Jinglu Hu, Sandor Markon

研究成果: Paper査読

抄録

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.

本文言語English
ページ74-79
ページ数6
出版ステータスPublished - 2005 12 1
イベントSICE Annual Conference 2005 - Okayama, Japan
継続期間: 2005 8 82005 8 10

Conference

ConferenceSICE Annual Conference 2005
CountryJapan
CityOkayama
Period05/8/805/8/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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