计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (12): 29-30.

• 学术探讨 • 上一篇    下一篇

双层MEC算法优化多峰问题

王丽爱 周旭东 陈崚 孙承意   

  1. 江苏省扬州大学信息工程学院计算机系 河南科技大学 扬州大学工学院计算机科学与工程系 北京城市学院人工智能研究室
  • 收稿日期:2006-08-31 修回日期:1900-01-01 出版日期:2007-04-20 发布日期:2007-04-20
  • 通讯作者: 王丽爱

Solving Multimodal Optimization by Two-Level MEC

  • Received:2006-08-31 Revised:1900-01-01 Online:2007-04-20 Published:2007-04-20

摘要: 多峰优化是真实世界的一类问题。本文介绍了基本MEC(Mind Evolutionary Computation);给出了峰半径异化策略的MEC算法描述;提出了用优化参数的双层MEC算法解决多峰优化问题;最后,在实验中优化了三个测试函数,并与物种保存遗传算法进行了性能比较。

关键词: 进化计算, 思维进化计算, 多峰优化

Abstract: Multimodal optimization is a kind of problems in the real world. In this paper, the basic MEC is introduced; the peak radius MEC is described; using two-level MEC optimizing parameters is proposed to solve multimodal problems. Finally, in the experiments, three tested functions are optimized; the results are compared between MEC and SCGA.

Key words: Evolutionary Computation, Mind Evolutionary Computation, Multimodal Optimization