Discovering building blocks for human based genetic algorithms
6 April 2008Ueda, T., Yasui, N. I., Llorà, X., Sastry, K. Goldberg, D. E. (2008). Smart Systems Engineering: Computational Intelligence in Architecting Complex Engineering Systems (ANNIE 2007). [First Runner Up, Theoretical Developments in Computational Intelligence] [Preprint: IlliGAL Report No. 2007020].
Abstract:
The push for rapid innovation and creativity in this Internet age places a premium on eective integration of both human and computer-generated knowledge. One of the key components of a distributed and scalable environment for accomplishing this integration called DISCUS is the human-based genetic algorithm (HBGA)–a GA where humans perform genetic operations. This paper takes the first step towards designing a competent HBGA, which can enable humans to innovate quickly, reliably, and accurately. Specifically, this paper proposes a methodology for discovering building blocks from text documents including reports, chat, transcripts and e-mail. The proposed method has been applied to simple test problems and to a news article set. The results show that the proposed BB-identification methodology is eective and enables humans to eectively exchange the BBs for rapid innovation.
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