کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1548397 | 997737 | 2009 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel quantum-inspired immune clonal algorithm with the evolutionary game approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی مواد
مواد الکترونیکی، نوری و مغناطیسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The quantum-inspired immune clonal algorithm (QICA) is a rising intelligence algorithm. Based on evolutionary game theory and QICA, a quantum-inspired immune algorithm embedded with evolutionary game (EGQICA) is proposed to solve combination optimization problems. In this paper, we map the quantum antibody’s finding the optimal solution to player’s pursuing maximum utility by choosing strategies in evolutionary games. Replicator dynamics is used to model the behavior of the quantum antibody and the memory mechanism is also introduced in this work. Experimental results indicate that the proposed approach maintains a good diversity and achieves superior performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Progress in Natural Science - Volume 19, Issue 10, 10 October 2009, Pages 1341–1347
Journal: Progress in Natural Science - Volume 19, Issue 10, 10 October 2009, Pages 1341–1347
نویسندگان
Qiuyi Wu, Licheng Jiao, Yangyang Li, Xiaozheng Deng,