From 1b48f7d07f1aca7a56e0bf73e8b27c46d7faee9f Mon Sep 17 00:00:00 2001 From: HYChan <740172810@qq.com> Date: Tue, 10 Oct 2023 15:57:02 +0800 Subject: [PATCH] =?UTF-8?q?20231010-=E9=81=97=E4=BC=A0=E7=AE=97=E6=B3=95?= =?UTF-8?q?=E8=A7=A3=E6=97=85=E8=A1=8C=E5=95=86=E9=97=AE=E9=A2=98-?= =?UTF-8?q?=E4=BC=98=E5=8C=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Genetic_algorithm/src/TSP.java | 23 ++++++++++++----------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/Genetic_algorithm/src/TSP.java b/Genetic_algorithm/src/TSP.java index 31265cf..509a873 100644 --- a/Genetic_algorithm/src/TSP.java +++ b/Genetic_algorithm/src/TSP.java @@ -6,12 +6,12 @@ public class TSP { private static int city_num=30;//每个种群里的城市数量 private static int iterative=500;//迭代500代 private static double[]possible; - private static double[][]city={{ -0.07, 0.60 }, { 0.86, 0.17 }, { 0.94, -0.49 }, { 0.69, -0.54 }, - { 0.66, -0.15 }, { 0.39, 0.67 }, { 0.87, 0.08 }, { -0.97, 0.92 }, { 0.81, 0.03 }, { -0.41, 0.82 }, - { 0.10, -0.29 }, { -0.22, -0.66 }, { 0.74, -0.95 }, { -0.09, -0.24 }, { 0.93, 0.55 }, { 0.86, 0.66 }, - { -0.67, 0.80 }, { 0.14, -0.23 }, { -0.64, 0.34 }, { -0.38, -0.08 }, { -0.82, -0.75 }, { 0.40, 0.82 }, - { 0.56, 0.34 }, { -0.76, -0.08 }, { 0.78, -0.22 }, { -0.60, -0.81 }, { 0.41, -0.76 }, { 0.81, 0.52 }, - { 0.92, 0.97 }, { -0.13, -0.24 }};//城市坐标 + private static double[][]city={{ -0.05, 0.85 }, { 0.76, 0.37 }, { 0.34, -0.89 }, { 0.69, -0.54 }, + { 0.26, -0.45 }, { 0.32, 0.57 }, { 0.57, 0.88 }, { -0.57, 0.82 }, { 0.71, 0.05 }, { -0.61, 0.72 }, + { 0.10, -0.29 }, { -0.22, -0.66 }, { 0.74, -0.95 }, { -0.09, -0.24 }, { 0.93, 0.55 }, { 0.36, 0.56 }, + { -0.35, 0.81 }, { 0.14, -0.23 }, { -0.54, 0.94 }, { -0.38, -0.08 }, { -0.82, -0.75 }, { 0.40, 0.82 }, + { 0.86, 0.54 }, { -0.67, -0.18 }, { 0.76, -0.32 }, { -0.60, -0.81 }, { 0.41, -0.76 }, { 0.81, 0.52 }, + { 0.82, 0.77 }, { -0.14, -0.35 }};//城市坐标 //【*入口函数：TSP整体算法主体】 public static void main(String[] args) throws Exception { @@ -31,13 +31,14 @@ public class TSP { possible=cal_possible(sample); sample=select(sample); - best=find_best(sample); + best=find_the_best(sample); System.out.println(); System.out.println(String.format("【-----第%d代-----】", i+1)); System.out.println(String.format("【适应度最大值】%f", best.fitness)); System.out.println(String.format("【路程最小值】%f", 1/best.fitness)); System.out.println(); + } } @@ -81,7 +82,7 @@ public class TSP { } //【*辅助方法：挑选父个体】 - static CityPoint sel_father(ArrayListfather_group){ + static CityPoint select_father(ArrayListfather_group){ Random random =new Random(); double t =random.nextDouble();//随机生成一个0到1之间的浮点数t，用来与个体被抽中的概率进行比较 int i;//这个i之后也被当成索引用 @@ -94,8 +95,8 @@ public class TSP { } //【*辅助方法：繁殖，获得子代】 static CityPoint get_child(ArrayListfather_group){ - CityPoint parentA=sel_father(father_group);//从父种群中挑出一个父个体 - CityPoint parentB=sel_father(father_group);//从父种群中挑出第二个父个体 + CityPoint parentA=select_father(father_group);//从父种群中挑出一个父个体 + CityPoint parentB=select_father(father_group);//从父种群中挑出第二个父个体 int[]tmp=new int[city_num];//创建一个长度为个体元素数的数组（30） Random random=new Random(); int indexA;//定义两个指数，作为两个父个体的交换点 @@ -166,7 +167,7 @@ public class TSP { } //【*主方法：判断当前最优值】 - static CityPoint find_best(ArrayListgroup){ + static CityPoint find_the_best(ArrayListgroup){ CityPoint best=group.get(0);//暂时将数组中的第一个元素视作最优解 for(CityPoint group_indi:group){//遍历传入的数组 if(group_indi.fitness>best.fitness)//每次遍历到的个体都和当前的最优解做比较，如果当前遍历的种群个体适应度>当前最优解的适应度