System optimization without numerical target

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

2 Citations (Scopus)

Abstract

This paper describes the importance of next challenging task, system optimization based on human preference or subjective evaluation, and shows how to challenge the task. As one of this type of approaches, interactive GA is introduced, and its advantages and disadvantages are discussed. To solve the disadvantages, this paper proposes two methods to reduce the burden of interactive GA operators, and evaluates their performances. Subjective tests have shown that the proposed methods are significantly better for human operators than conventional interface from statistical test point of view.

Original languageEnglish
Title of host publicationNew Frontiers in Fuzzy Logic and Soft Computing
PublisherIEEE
Pages351-354
Number of pages4
Publication statusPublished - 1996
EventProceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS - Berkeley, CA, USA
Duration: Jun 19 1996Jun 22 1996

Other

OtherProceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS
CityBerkeley, CA, USA
Period6/19/966/22/96

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Takagi, H. (1996). System optimization without numerical target. In New Frontiers in Fuzzy Logic and Soft Computing (pp. 351-354). IEEE.