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A novel quantum-inspired genetic algorithm with expanded solution space

  • Renjie Liao*
  • , Xueyao Wang
  • , Zengchang Qin
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we present a novel quantum-inspired genetic algorithm with expanded solution space. Based on the double chains quantum genetic algorithm (DCQGA), we have expanded the solution space by increasing the number of solution space transformation functions. And we propose a novel method for quantum rotation gate's update by using the sign function and the gradient of objective function. With this method we can automatically determine the direction of quantum rotation gate and adaptively adjust the magnitude of quantum rotation gate. Through experimenting on 2 benchmark problem in the optimization literature: Rosenbrock function and Schaffer's F6 function, we demonstrate that our expanded solution space quantum genentic algorithm (ESSQGA) has achieved more satisfactory results than DCQGA and common genetic algorithm.

源语言英语
主期刊名Proceedings - 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2010
192-195
页数4
DOI
出版状态已出版 - 2010
活动2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2010 - Nanjing, 中国
期限: 26 8月 201028 8月 2010

出版系列

姓名Proceedings - 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2010
2

会议

会议2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2010
国家/地区中国
Nanjing
时期26/08/1028/08/10

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