计算机科学 ›› 2009, Vol. 36 ›› Issue (10): 250-252.

• 人工智能 • 上一篇    下一篇

用于全局优化的一种新填充函数

颜俊华,何中越,王永军   

  1. (西南石油大学计算机科学学院 成都 610500);(东方地球物理公司研究院 泳州 072750)
  • 出版日期:2018-11-16 发布日期:2018-11-16

New Filled Function Applied to Global Optimization

YAN Jun-hua, HE Zhong-yue, WANG Yong-Jun   

  • Online:2018-11-16 Published:2018-11-16

摘要: 填充函数法是一种寻求多变量、多峰值函数的总体最优的优化方法。鉴于提出过的填充函数,给出了一种形式简单的单参填充函数,计算中无需考虑函数出现不连续点的情况,且函数不受指数项影响。对一些标准函数的仿真结果比较表明构造的填充函数是有效的。

关键词: 填充函数法,全局优化,非线性优化

Abstract: The filled function method is an effective approach to find the global optima of multivariable and multimodal functions. Inspired by the previous filled functions, we proposed a new filled function with simple form and one parameter. The case of discontinuous point in computation needn't be thought. Moreover, it overcame the disadvantages that some previous filled functions were affected by exponential terms. Numerical results on benchmark functions show that the proposed function is effective.

Key words: Filled function method, Global optimization, Nonlinear programming

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