Computer science A Look at the application and effectiveness of CUDA programming applied to precedence-constrained TSP using a genetic algorithm meta-heuristic UNIVERSITY OF CALIFORNIAIRVINE Amelia Regan WagnerRossIn this thesis, we explore the potential promise of parallel computing on a graphic ...
using namespace std; int n; //城市个数 int A[MAX][MAX]; //城市间距离 int x[MAX]; //记录路径 int bestx[MAX] = {0}; //记录最优路径 int bestp = 63355; //最短路径长 int cp = 0; //当前路径长 void backpackTSP(int t){ if(t>n){ //最后一层 if((A[x[n]][1])&&(A...
/*改进的粒子群算法:结合GA和SA*/ #include<iostream> using namespace std; #include<stdlib.h> #include<time.h> #include<math.h> #include<vector> #include<algorithm> #define N 10 //种群大小(解个数) #define C 10 //城市个数 #define T 10 //染色体基因个数(T=K+LV+1) #define I 200...
#include <ctime> #include <cstdio> #include <cstring> #include <algorithm> using namespace std; const int inf=10000005; const int maxn=105; int dis[maxn][maxn];//dis存距离 int f[maxn],f1[maxn],g[maxn];//f存适应度函数,f1缓存f,g存确定性选择法下选几次 int n,low=inf,mx_f...
#include<algorithm> #include<ctime> #include<time.h> using namespace std; typedef vector<int> VI; typedef vector<VI> VVI; #define PB push_back #define MP make_pair int next_int() { return rand()*(RAND_MAX+1)+rand(); } double next_double() ...
#include<stdio.h>#include<math.h>#include<algorithm>usingnamespacestd;#pragma warning(disable:4996)constintmaxn=1<<15;intn;floatx[16],y[16];floatdist[16][16],dp[maxn][15],inf=(1<<31)-1;intmain(){scanf("%d",&n);x[0]=0;y[0]=0;for(inti=1;i<=n;i++){scanf("%f%f"...
#include <bits/stdc++.h>#include<cstdio>#include<algorithm>#include<cstring>#include<string>#include<iostream>//#define NULL -1typedeflonglongll;usingnamespacestd;doubleINF =10e9;constintnum_ant=30;//蚂蚁的数量constintnum_city=30;//城市数量constintMAX_GEN=1000;//最大迭代次数intALPHA =1;...
KEYWORDS:Travelingsalesmanproblem;Geneticalgorithm;Graywolfoptimization;Distanceheuristicfactor 较短时间内得到符合需要的可行解,更适用于现实工程 1 引言问题。 旅行商问题(TravellingSalesmanProblem,TSP)是组合优多年来各国研究人员根据TSP问题的特性对不同启发 ...
(TSP) problem. Finding good, if not optimal, solutions in a reasonable time requires a balance to be struck between exploring new solutions and exploiting known information about possible solutions already examined. A new algorithm in which individual ants each live long enough to explore multiple ...
nonlinear programming algorithm based on excellent" and "TSP based on Genetic algorithms" programming. Experimental results show that optimization using Matlab language, with programming statements simple, flexible usage, programming efficiency. The simulation shows that the algorithm is correct and feasible...