docs: set up initial point #54 #58

docs/en/more_ga.md

@@ -70,3 +70,12 @@ plt.show()
 ```
 
 ![image](https://user-images.githubusercontent.com/19920283/83831463-0ac6a400-a71a-11ea-8692-beac5f465111.png)
+
+For more information, click [here](https://github.com/guofei9987/scikit-opt/issues/58)
+
+## How to set up starting point or initial population
+
+- For `GA`, after `ga=GA(**params)`, use codes like `ga.Chrom = np.random.randint(0,2,size=(80,20))` to manually set the initial population.  
+- For `DE`, set `de.X` to your initial X.  
+- For `SA`, there is a parameter `x0`, which is the init point.
+- For `PSO`, set `pso.X` to your initial X, and run `pso.cal_y(); pso.update_gbest(); pso.update_pbest()`

docs/zh/more_ga.md

@@ -71,3 +71,12 @@ plt.show()
 ```
 
 ![image](https://user-images.githubusercontent.com/19920283/83831463-0ac6a400-a71a-11ea-8692-beac5f465111.png)
+
+更多说明，[这里](https://github.com/guofei9987/scikit-opt/issues/58)
+
+## 如何设定初始点或初始种群
+
+- 对于遗传算法 `GA`, 运行 `ga=GA(**params)` 生成模型后，赋值设定初始种群，例如 `ga.Chrom = np.random.randint(0,2,size=(80,20))` 
+- 对于查分进化算法 `DE`，设定 `de.X` 为初始 X.  
+- 对于模拟退火算法 `SA`，入参 `x0` 就是初始点.
+- 对于粒子群算法 `PSO`，手动赋值 `pso.X` 为初始 X, 然后执行 `pso.cal_y(); pso.update_gbest(); pso.update_pbest()` 来更新历史最优点