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 language | English |
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| Title of host publication | New Frontiers in Fuzzy Logic and Soft Computing |
| Publisher | IEEE |
| Pages | 351-354 |
| Number of pages | 4 |
| Publication status | Published - 1996 |
| Event | Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS - Berkeley, CA, USA Duration: Jun 19 1996 → Jun 22 1996 |
Other
| Other | Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS |
|---|---|
| City | Berkeley, CA, USA |
| Period | 6/19/96 → 6/22/96 |
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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.