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中国农学通报 ›› 2012, Vol. 28 ›› Issue (8): 24-28.

所属专题: 畜牧兽医

• 畜牧 动物医学 蚕 蜂 • 上一篇    下一篇

改进遗传算法在饲料配方设计中的应用

徐东升 杨斐 王伯槐   

  • 收稿日期:2010-06-10 修回日期:2010-07-07 出版日期:2012-03-15 发布日期:2012-03-15
  • 基金资助:

    陕西省自然科学基础研究计划项目“陕北白绒山羊精细养殖综合技术平台建设与研究”;榆林市科技计划项目“陕北白绒山羊饲料配方优化系统的研究与应用”

Application of Improved Genetic Algorithm in Design of Feed Formula

  • Received:2010-06-10 Revised:2010-07-07 Online:2012-03-15 Published:2012-03-15

摘要:

针对现有饲料配方软件的局限性,以白绒山羊饲料配方为例,提出一种基于改进遗传算法的求解方法。与标准遗传算法相比,采用随机联赛选择替代轮盘赌模型,优化了选择策略;采用不同的随机数交叉和高斯变异,改进了交叉算子与变异算子。测试结果表明,该方法具有良好的运算效率,拓宽了搜索空间,提高了对重点区域的搜索能力,降低了成本,为复杂问题的优化提供了一种新的思路。

关键词: 云南省农户农资消费行为现状 调查, 云南省农户农资消费行为现状 调查

Abstract:

According to the malpractices of many feeding formula software, a new method of feed formula design for white cashmere goats based on improved genetic algorithm is proposed. Compared with the standard genetic algorithm, we replaced the traditional roulette wheel model with random league matches in choosing strategy policy, using different random crossover and gauss mutation, improved crossover operator and mutation operator. The test result shows that the method has high computing efficiency, broaden the search space, improved search capabilities in key areas, reduce the cost and so on. It can provide a new way for optimization of complex issues.

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