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A note on the weight of inverse complexity in improved hybrid genetic algorithm

  • Systems-Level Quality Improvement
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References

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Acknowledgments

This letter is supported by Natural Science Foundation of Jiangsu Province (BK20150983), Open Project Program of Key laboratory of symbolic computation and knowledge engineering of ministry of education, Jilin University (93K172016K17), Open Project Program of the State Key Lab of CAD&CG, Zhejiang University (A1616), Open Fund of Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology (15-140-30-008K), Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing (BM2013006).

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Authors and Affiliations

  1. Nanjing Normal University, Nanjing, Jiangsu, 210023, China

    Siyuan Lu, Shuihua Wang & Yudong Zhang

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  1. Siyuan Lu
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  2. Shuihua Wang
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  3. Yudong Zhang
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Correspondence to Yudong Zhang.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Lu, S., Wang, S. & Zhang, Y. A note on the weight of inverse complexity in improved hybrid genetic algorithm. J Med Syst 40, 150 (2016). https://doi.org/10.1007/s10916-016-0512-7

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  • DOI: https://doi.org/10.1007/s10916-016-0512-7

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