Spy*_*kis 1 c# linq multidimensional-array genetic-algorithm
我已经为遗传算法编写了这个代码,通过获得基因的随机int(质量,高度(指标)和腿力)计算跳跃高度,然后用其他表现最好的随机标本再现自身.存储在一个名为的2d数组中geneBoard.现在我的问题; 你认为写1000次相同的值是不切实际的,所以我试着用这个:
float[,] geneBoard = Enumerable.Repeat(
mass = GetMass(500, 1000),
height = GetHeight(150, 190),
force = GetForce(500, 3500),
fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)), 1000)
.ToArray();
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而不是这个:
float[,] geneBoard = new float[4, 4]
{
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) },
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) },
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) },
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) }
};
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如果我没有做足够好的工作解释,这是我的所有代码:
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace Genetic_Algorithm
{
class Program
{
static Random random = new Random(); // Getting a seed
static void Main(string[] args)
{
float mass = GetMass(500, 1000);
float height = GetHeight(150, 190);
float force = GetForce(500, 3500);
float fitnessScore = Convert.ToSingle( PhysicalTest(mass, height, force) );
/*
float[,] geneBoard = new float[4, 4]
{
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) },
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) },
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) },
{ mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)) }
};
*/
float[,] geneBoard = Enumerable.Repeat(mass = GetMass(500, 1000), height = GetHeight(150, 190), force = GetForce(500, 3500), fitnessScore = Convert.ToSingle(PhysicalTest(mass, height, force)), 1000).ToArray();
float[] sortingAr = new float[] { geneBoard[0, 3], geneBoard[1, 3], geneBoard[2, 3], geneBoard[3, 3] };
Array.Sort(sortingAr, (x, y) => y.CompareTo(x));
Console.WriteLine(sortingAr[0]);
Console.WriteLine(sortingAr[1]);
}
public static float GetMass(int min, int max)
{
int massGr = random.Next(min, max);
float mass = massGr / 10;
return mass;
}
public static float GetHeight(int min, int max)
{
int heightCm = random.Next(min, max);
float height = heightCm / 10;
return height;
}
public static float GetForce(int min, int max)
{
int force = random.Next(min, max);
return force;
}
public static double PhysicalTest(float mass, float height, float force)
{
double d = force * 0.07; // gets distance of applied force
double vi = Math.Sqrt( (force * d) / ( mass / 2 ) ); // calculats v initial
double jumpHeight = (vi * vi) / (2 * 9.8); // calculates jumping height
double fitnessScore = jumpHeight * 100;
return fitnessScore;
}
}
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}
最后,我是初学者,所以任何其他建议都会有所帮助.
我认为Enumerable.Repeat不是你真正想要的.正如它的名字所说,它只是一遍又一遍地重复相同的元素,而在你的情况下,我认为你想要的是创建1000个代表你的基因的相似但不同的对象.
在你的情况下,我想for你之前创建的数组上的简单循环是绝对足够的.