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A generation alternation model for user–system cooperative evolutionary computation

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Abstract

User–system cooperative evolution (CEUS) is an evolutionary computation (EC) method to optimize quantitative and qualitative criteria. In previous work of CEUS, the whole population update is performed at every generation, and the user observes very few individuals. This paper proposes a generation alternation model designed for CEUS. The proposed model allows a user to find widely varied individuals in addition to the best individuals by replacing just one individual in a population for each generation, and consequently, contributes user’s idea generation by enhancing divergent thinking.

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References

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Acknowledgments

This work was supported by Grant-in-Aid for Scientific Research (23700272) from the Ministry of Education, Culture, Sports, Science and Technology, Japan.

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Authors and Affiliations

  1. Department of Information Science and Biomedical Engineering, Graduate School of Science and Engineering, Kagoshima University, Kagoshima, 1-21-40, Korimoto, Kagoshima, 890-0065, Japan

    Satoshi Ono, Kiyomasa Sakimoto & Shigeru Nakayama

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  1. Satoshi Ono
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  2. Kiyomasa Sakimoto
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  3. Shigeru Nakayama
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Correspondence to Satoshi Ono.

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Ono, S., Sakimoto, K. & Nakayama, S. A generation alternation model for user–system cooperative evolutionary computation. Artif Life Robotics 17, 251–256 (2012). https://doi.org/10.1007/s10015-012-0049-x

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  • DOI: https://doi.org/10.1007/s10015-012-0049-x

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