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

Hideyuki Takagi, Kimiko Ohya

Research output: Contribution to conferencePaper

33 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 - Jan 1 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

  • Engineering(all)

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  • Cite this

    Takagi, H., & Ohya, K. (1996). Discrete fitness values for improving the human interface in an interactive GA. 109-112. Paper presented at Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96, Nagoya, Jpn, .