文章摘要
基于改进布谷鸟搜索算法的种子园空间布局优化
Seed orchard’s spatial layout optimized by an improved Cuckoo searching algorithm
投稿时间:2017-12-07  修订日期:2017-12-31
DOI:
中文关键词: 智能优化算法  布谷鸟搜索算法  种子园  空间布局优化
英文关键词: Intelligent optimization algorithm  Cuckoo searching algorithm  Seed orchard  Spatial layout optimization
基金项目:国家自然科学(no. 31470675);中国国家环境保护公益性行业科研专项(no.201404102).
作者单位E-mail
王路漫 北京林业大学信息学院北京大学医学部医用理学系 wangluman@bjmu.edu.cn 
王建新 北京林业大学信息学院 wangjx@bjfu.edu.cn 
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中文摘要:
      为了使树木更好地适应外界环境的变化,林木育种的关键是确保其具有较高的遗传多样性。通过优化种子园的空间布局,可以提高树木的遗传多样性。但随着种子园规模的扩大,空间布局优化方案的复杂度会呈指数级增长,使用传统方法很难在可行的时间内得到最优解。本文采用改进的布谷鸟搜索算法对种子园配置方案进行最优化设计,并利用不同规模种子园的模拟数据验证了该算法在解的质量和求解速度方面的可靠性,且对于相同数据,该算法得到的解均优于遗传算法,可高效地输出一个优化的栽培种植方案,为种子园的建立提供决策依据。
英文摘要:
      The high genetic diversity is very significant for tree breeding in order to adapt to the changes of the environment. Thus, we need to design the optimal scheme of spatial layout for seed orchard to increase this diversity. But, with the enlargement of the seed orchard scale, the complexity of the algorithm for optimization schemes will increase exponentially and it is quite difficult to obtain the optimal solution within a feasible time by traditional methods. This paper adopted improved cuckoo searching algorithm to acquire the optimal configuration of seed orchard, and verified the reliability of the algorithm in terms of quality and speed of solving solutions using the different simulation data. Meanwhile, this algorithm is superior to the genetic algorithm for the same data, and can efficiently output an optimal cultivation scheme to provide a decision basis for establishment of the seed orchard.
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