Discrete fitness values for improving the human interface in an interactive GA

Hideyuki Takagi, Kimiko Ohya

    Research output: Contribution to conferencePaperpeer-review

    35 Citations (Scopus)

    Abstract

    This paper proposes two methods of inputting fitness values that reduce the psychological burden of interactive genetic algorithm operators. The first proposal is an input method that allows discrete fitness values, and that requires less attention from operators in scoring slightly different individuals. The second proposal is an input method that allows both discrete and continuous fitness values. These proposed methods are evaluated using two subjective tests for the task of drawing a face. The results of the subjective tests show that: (1) the first proposed method is significantly better than the method which forces operators to input only continuous fitness values (p < 0.01), and (2) the second proposed method is significantly better than the first proposed method (p < 0.01).

    Original languageEnglish
    Pages109-112
    Number of pages4
    Publication statusPublished - 1996
    EventProceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96 - Nagoya, Jpn
    Duration: May 20 1996May 22 1996

    Other

    OtherProceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96
    CityNagoya, Jpn
    Period5/20/965/22/96

    All Science Journal Classification (ASJC) codes

    • General Engineering

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