牛键, 介玉新, 张彬. 2018: 一种类比坡面侵蚀的优化计算方法. 工程地质学报, 26(s1): 409-413. DOI: 10.13544/j.cnki.jeg.2018081
    引用本文: 牛键, 介玉新, 张彬. 2018: 一种类比坡面侵蚀的优化计算方法. 工程地质学报, 26(s1): 409-413. DOI: 10.13544/j.cnki.jeg.2018081
    NIU Jian, JIE Yuxin, ZHANG Bin. 2018: AN OPTIMIZATION ALGORITHM BASED ON ANALOGY OF SLOPE EROSION. JOURNAL OF ENGINEERING GEOLOGY, 26(s1): 409-413. DOI: 10.13544/j.cnki.jeg.2018081
    Citation: NIU Jian, JIE Yuxin, ZHANG Bin. 2018: AN OPTIMIZATION ALGORITHM BASED ON ANALOGY OF SLOPE EROSION. JOURNAL OF ENGINEERING GEOLOGY, 26(s1): 409-413. DOI: 10.13544/j.cnki.jeg.2018081

    一种类比坡面侵蚀的优化计算方法

    AN OPTIMIZATION ALGORITHM BASED ON ANALOGY OF SLOPE EROSION

    • 摘要: 模拟生物行为和一些物理过程的算法为解决复杂优化问题提供了可行的思路。本文通过类比降雨导致的坡面细沟产生和发展过程,提出了一种类比坡面侵蚀的优化算法。该算法采用一种呈周期性变化的适应度评价方法来保持种群的多样性,结合了入侵杂草优化算法和生物地理优化算法,具有较好的全局搜索能力以及局部搜索能力。算例计算表明新算法的计算效率和计算精度相比于以上两种优化算法都有所提高。该算法对研究坡面侵蚀也具有一定的启示作用。

       

      Abstract: Simulation of some biological behaviors and physical processes is always helpful to establish new algorithms in conducting complicated optimization problems. In this paper, we propose a new optimization algorithm based on analogy of slope erosion which involves growth and development of slope rills induced by rain. This algorithm uses a new function with periodic variation to evaluate the fitness of individuals and to keep the diversity of the population. By incorporating the invasive weed optimization algorithm and the biogeography-based optimization algorithm, the new algorithm has satisfactory performance both in global search and in local search. Example shows that its computational efficiency and accuracy are better than the invasive weed optimization algorithm and the biogeography-based optimization algorithm. It is thought that the optimization ideology in this new algorithm may also has a certain enlightenment to the study of slope erosion.

       

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