| 1. | Fitness landscape analysis for capactitated p - median problem
中位问题的适应值曲面分析 |
| 2. | Lastly , the dynamic fitness landscape was analyzed in brief
对动态适应值曲面进行了初步分析。 |
| 3. | 2 . we investigated the principles of the fitness landscape and its application to gas in detail
2 .阐述了遗传算法适应值曲面的概念，及其在遗传算法研究中所起的作用。 |
| 4. | Thirdly , we proposed the concept of the fitness landscape of schemata , and implemented statistical analysis for fitness landscapes of schemata
提出了模式适应值曲面的概念，并对模式适应值曲面进行了统计分析。 |
| 5. | Crowding model is used to form multiple niches in fitness landscape , while clustering algorithm eliminates genetic drift in each inner niche
拥挤模型在适应值曲面上形成多个小生境，聚类算法消除了每个小生境内部的基因漂移现象。 |
| 6. | Next , we proposed the method of fitness sequence statistics analysis , to directly explore characteristics of fitness landscapes , and to further measure the extent of ga - hardness
提出了一种排序统计分析方法，可以直接测试适应值曲面的特征，从而进一步反映遗传算法对该问题优化的困难程度。 |
| 7. | Firstly , from the viewpoint of graph theory , we analyzed fitness landscapes , and described the random walk correlation function , then we deduced the equation to compute the correlation length
从图论的角度对遗传算法适应值曲面进行了分析，描述了适应值曲面上的随机游走相关函数，详细推导了相关长度计算公式。 |
| 8. | We also introduced the fractal theory to study fitness landscapes , and analyzed the complexity of fitness landscapes by computing the correlation dimension based on random walk fitness time series
提出利用分形理论来分析遗传算法适应值曲面，并提出基于随机游走模型对适应值曲面进行关联维数测试，以反映适应值曲面的复杂程度。 |
| 9. | Secondly , we performed the time series analysis for the random walk model on the fitness landscape to discover more information about the fitness landscape , and demonstrated the modeling process based on the nk - landscapes
对适应值曲面上的随机游走模型进行了时间序列分析，以获得关于适应值曲面的更多的信息，并基于nk -适应值曲面进行了实证研究。 |
| 10. | In addition , the concept , " fitness landscapes " , which came from biology , has been applied to gas , and became an important tool to describe the characteristics of the fitness space and to analyze the performance of gas
另外，起源于生物学中的概念“适应值曲面”已成功地应用到了遗传算法中，成为描述适应值空间特征和分析遗传算法性能的重要工具。 |
