Visualized IEC: Interactive evolutionary computation with multidimensional data visualization

N. Hayashida, Hideyuki Takagi

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

28 Citations (Scopus)

Abstract

We propose Visualized IEC as an interactive evolutionary computation (IEC) with visualizing individuals in a multidimensional searching space in a 2D space. This visualization helps us envision the landscape of an n-D searching space; so that it is easier for us to join an EC search, by indicating the possible global optimum estimated in the 2D mapped space. We experimentally evaluate the effect of visualization using a benchmark function. We use self-organizing maps for this projection of individuals onto a 2D space. The experimental result shows that the convergence speed of the GA with human search on the visualized space is at least five times faster than a conventional GA.

Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Computer Society
Pages2738-2743
Number of pages6
DOIs
Publication statusPublished - Jan 1 2000

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume1

Fingerprint

Data visualization
Evolutionary algorithms
Visualization
Self organizing maps

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Hayashida, N., & Takagi, H. (2000). Visualized IEC: Interactive evolutionary computation with multidimensional data visualization. In IECON Proceedings (Industrial Electronics Conference) (pp. 2738-2743). [972431] (IECON Proceedings (Industrial Electronics Conference); Vol. 1). IEEE Computer Society. https://doi.org/10.1109/IECON.2000.972431

Visualized IEC : Interactive evolutionary computation with multidimensional data visualization. / Hayashida, N.; Takagi, Hideyuki.

IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society, 2000. p. 2738-2743 972431 (IECON Proceedings (Industrial Electronics Conference); Vol. 1).

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

Hayashida, N & Takagi, H 2000, Visualized IEC: Interactive evolutionary computation with multidimensional data visualization. in IECON Proceedings (Industrial Electronics Conference)., 972431, IECON Proceedings (Industrial Electronics Conference), vol. 1, IEEE Computer Society, pp. 2738-2743. https://doi.org/10.1109/IECON.2000.972431
Hayashida N, Takagi H. Visualized IEC: Interactive evolutionary computation with multidimensional data visualization. In IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society. 2000. p. 2738-2743. 972431. (IECON Proceedings (Industrial Electronics Conference)). https://doi.org/10.1109/IECON.2000.972431
Hayashida, N. ; Takagi, Hideyuki. / Visualized IEC : Interactive evolutionary computation with multidimensional data visualization. IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society, 2000. pp. 2738-2743 (IECON Proceedings (Industrial Electronics Conference)).
@inproceedings{9231dc9f24f84027928fca10d7a9f1e1,
title = "Visualized IEC: Interactive evolutionary computation with multidimensional data visualization",
abstract = "We propose Visualized IEC as an interactive evolutionary computation (IEC) with visualizing individuals in a multidimensional searching space in a 2D space. This visualization helps us envision the landscape of an n-D searching space; so that it is easier for us to join an EC search, by indicating the possible global optimum estimated in the 2D mapped space. We experimentally evaluate the effect of visualization using a benchmark function. We use self-organizing maps for this projection of individuals onto a 2D space. The experimental result shows that the convergence speed of the GA with human search on the visualized space is at least five times faster than a conventional GA.",
author = "N. Hayashida and Hideyuki Takagi",
year = "2000",
month = "1",
day = "1",
doi = "10.1109/IECON.2000.972431",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "2738--2743",
booktitle = "IECON Proceedings (Industrial Electronics Conference)",
address = "United States",

}

TY - GEN

T1 - Visualized IEC

T2 - Interactive evolutionary computation with multidimensional data visualization

AU - Hayashida, N.

AU - Takagi, Hideyuki

PY - 2000/1/1

Y1 - 2000/1/1

N2 - We propose Visualized IEC as an interactive evolutionary computation (IEC) with visualizing individuals in a multidimensional searching space in a 2D space. This visualization helps us envision the landscape of an n-D searching space; so that it is easier for us to join an EC search, by indicating the possible global optimum estimated in the 2D mapped space. We experimentally evaluate the effect of visualization using a benchmark function. We use self-organizing maps for this projection of individuals onto a 2D space. The experimental result shows that the convergence speed of the GA with human search on the visualized space is at least five times faster than a conventional GA.

AB - We propose Visualized IEC as an interactive evolutionary computation (IEC) with visualizing individuals in a multidimensional searching space in a 2D space. This visualization helps us envision the landscape of an n-D searching space; so that it is easier for us to join an EC search, by indicating the possible global optimum estimated in the 2D mapped space. We experimentally evaluate the effect of visualization using a benchmark function. We use self-organizing maps for this projection of individuals onto a 2D space. The experimental result shows that the convergence speed of the GA with human search on the visualized space is at least five times faster than a conventional GA.

UR - http://www.scopus.com/inward/record.url?scp=84969262519&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84969262519&partnerID=8YFLogxK

U2 - 10.1109/IECON.2000.972431

DO - 10.1109/IECON.2000.972431

M3 - Conference contribution

AN - SCOPUS:84969262519

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 2738

EP - 2743

BT - IECON Proceedings (Industrial Electronics Conference)

PB - IEEE Computer Society

ER -