• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Improved Quantum-Inspired Evolutionary Algorithm for Engineering Design Optimization
【24h】

Improved Quantum-Inspired Evolutionary Algorithm for Engineering Design Optimization

机译：改进的量子启发式进化算法用于工程设计优化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An improved quantum-inspired evolutionary algorithm is proposed for solving mixed discrete-continuous nonlinear problems in engineering design. The proposed Latin square quantum-inspired evolutionary algorithm (LSQEA) combines Latin squares and quantum-inspired genetic algorithm (QGA). The novel contribution of the proposed LSQEA is the use of a QGA to explore the optimal feasible region in macrospace and the use of a systematic reasoning mechanism of the Latin square to exploit the better solution in microspace. By combining the advantages of exploration and exploitation, the LSQEA provides higher computational efficiency and robustness compared to QGA and real-coded GA when solving global numerical optimization problems with continuous variables. Additionally, the proposed LSQEA approach effectively solves mixed discrete-continuous nonlinear design optimization problems in which the design variables are integers, discrete values, and continuous values. The computational experiments show that the proposed LSQEA approach obtains better results compared to existing methods reported in the literature.
机译：提出了一种改进的量子启发式进化算法，用于求解工程设计中的混合离散连续非线性问题。提出的拉丁方量子启发进化算法（LSQEA）将拉丁方和量子启发遗传算法（QGA）结合在一起。拟议的LSQEA的新贡献是使用QGA探索宏空间中的最佳可行区域，以及使用拉丁方的系统推理机制在微空间中开发更好的解决方案。通过结合勘探和开发的优势，与QGA和实编码GA相比，LSQEA在解决具有连续变量的全局数值优化问题时具有更高的计算效率和鲁棒性。此外，所提出的LSQEA方法有效地解决了设计变量为整数，离散值和连续值的混合离散-连续非线性设计优化问题。计算实验表明，与文献报道的现有方法相比，所提出的LSQEA方法获得了更好的结果。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2012年第11期|836597.1-836597.27|共27页
  • 作者

    Jinn-Tsong Tsai; Jyh-Horng Chou; Wen-Hsien Ho;

  • 作者单位

    Department of Computer Science, National Pingtung University of Education, 4-18 Min-Sheng Road, Pingtung 900, Taiwan;

    Institute of System Information and Control, National Kaohsiung First University of Science and Technology, 1 University Road, Yenchao, Kaohsiung 824, Taiwan,Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, Kaohsiung 807, Taiwan;

    Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, 100 Shi-Chuan 1st Road, Kaohsiung 807, Taiwan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号