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一种基于进化策略的化学方程式配平新方法 被引量:4

A Novel Method for Balancing Chemical Equation Based on Evolution Strategy
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摘要 对标准进化策略算法作一改进,根据质量守恒定律和化学方程式左右两边的原子来建立数学模型,将化学方程式配平问题转化为最优化求解问题.改进后的进化策略算法用于最优化求解问题,提出了一种基于进化策略的化学方程式配平新算法.该算法中的初始群体中的个体为整数,通过对群体的进化,来求化学方程式各物质前的最简系数.实验结果表明,这种改进后的进化策略算法能够有效地确定出任意一化学方程式各物质前的最简系数,最终完成化学方程式配平,其目的为任意一化学方程式配平问题提供了一行之有效的新方法. Making an improvement to the normal Evolution Strategy Algorithm. According to the theme of mass conservation and basing on the atomic through the two side of the chemical equation the mathematical model is established, transform the problem of balancing chemical equation to be the optimized solution question. The improved Evolution Strategy Algorithm is used in solving the optimization question, a new Algorithm to balance the chemical equation based on Evolution Strategy Algorithm is proposed. In the algorithm, the individuals of the initial colony are integer, solving the most predigest positive integer coefficient which is in front of the materials of the chemical equation by evolving the colony. The result of the experiment indicate that the improved Evolution Strategy Algorithm can determine the most predigest positive integer coefficient which is in front of arbitrary chemical equation's each materials effectively, at last balance the chemical equation. The object is to offer a new effective method to balance arbitrary chemical equations.
出处 《数学的实践与认识》 CSCD 北大核心 2009年第2期49-56,共8页 Mathematics in Practice and Theory
基金 国家自然科学基金(60461001) 广西自然科学基金(0542048) 广西研究生教育创新计划项目(2007106080701M18) 广西民族大学重大项目资助课题(0609013)
关键词 进化策略 群体进化 化学方程式配平 最简正整数系数解 evolution strategy colony evolve balance chemical equation the most predigest positive integer coefficient solution
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参考文献4

  • 1曹锡章,宋天佑,王杏乔,等.无机化学(上册)[M].北京:高等教育出版社,1998.415-418.
  • 2Back T, Schwefel H P. Evolution Strategies Ⅰ: Variants and Their Computational Implementation. In: Genetic Algorithms in Engineering and Computer Science, Winter G(ed), Wiley,1995. 111-126.
  • 3Schwefel H P, Back T. Evolution Strategies Ⅱ: Theoretical Aspects. In: Genetic Algorithms in Engineering and Computer Science, Winter G(ed), Wiley,1995. 127-140.
  • 4徐宗本.进化智能(第一册)-模拟进化计算[M].北京:高等教育出版社,2004.41-55.

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