Improvement of presenting interface by predicting the evaluation order to reduce the burden of human interactive EC operators

M. Ohsaki, Hideyuki Takagi

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

This paper proposes to display individuals of interactive evolutionary computations in an evaluation order to reduce the burden on human operators. To display an evaluation order, two prediction methods - the first using neural networks, and the second using Euclidean distance measure - are proposed. We evaluate their predictive performance through simulation experiments and subjective tests.

Original languageEnglish
Pages (from-to)1284-1289
Number of pages6
JournalUnknown Journal
Volume2
Publication statusPublished - 1998

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Evolutionary algorithms
Mathematical operators
Neural networks
Experiments
prediction
simulation
experiment
evaluation
test
method

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

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abstract = "This paper proposes to display individuals of interactive evolutionary computations in an evaluation order to reduce the burden on human operators. To display an evaluation order, two prediction methods - the first using neural networks, and the second using Euclidean distance measure - are proposed. We evaluate their predictive performance through simulation experiments and subjective tests.",
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