Buying and selling stocks of multi brands using genetic network programming with control nodes

Zhiguo Bao, Shigo Mabu, Kotaro Hirasawa, Jinglu Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A new evolutionary method named "Genetic Network Programming with control nodes, GNPcn" has been proposed. GNPcn represents its solutions as directed graph structures which have some useful features inherently. For example, GNPcn has the implicit memory function which memorizes the past action sequences of agents and GNPcn can re-use nodes repeatedly in the network flow, so very compact graph structures can be made. GNPcn can improve the strategy of buying and selling stocks of multi brands. In this paper, buying and selling stocks of multi brands using GNPcn has been proposed, and its effectiveness is confirmed by simulations.

Original languageEnglish
Title of host publicationSICE Annual Conference, SICE 2007
Pages1569-1576
Number of pages8
DOIs
Publication statusPublished - 2007 Dec 1
EventSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
Duration: 2007 Sep 172007 Sep 20

Publication series

NameProceedings of the SICE Annual Conference

Conference

ConferenceSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
CountryJapan
CityTakamatsu
Period07/9/1707/9/20

Keywords

  • Buying and selling stocks
  • Candlestick chart
  • Evolutionary computation
  • Genetic network programming

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Buying and selling stocks of multi brands using genetic network programming with control nodes'. Together they form a unique fingerprint.

  • Cite this

    Bao, Z., Mabu, S., Hirasawa, K., & Hu, J. (2007). Buying and selling stocks of multi brands using genetic network programming with control nodes. In SICE Annual Conference, SICE 2007 (pp. 1569-1576). [4421233] (Proceedings of the SICE Annual Conference). https://doi.org/10.1109/SICE.2007.4421233