Poj 1014 Dividing

Dividing
Time Limit: 1000MS Memory Limit: 10000K
Total Submissions: 47029 Accepted: 11761

Description

Marsha and Bill own a collection of marbles. They want to split the collection among themselves so that both receive an equal share of the marbles. This would be easy if all the marbles had the same value, because then they could just split the collection in half. But unfortunately, some of the marbles are larger, or more beautiful than others. So, Marsha and Bill start by assigning a value, a natural number between one and six, to each marble. Now they want to divide the marbles so that each of them gets the same total value. Unfortunately, they realize that it might be impossible to divide the marbles in this way (even if the total value of all marbles is even). For example, if there are one marble of value 1, one of value 3 and two of value 4, then they cannot be split into sets of equal value. So, they ask you to write a program that checks whether there is a fair partition of the marbles.

Input

Each line in the input file describes one collection of marbles to be divided. The lines contain six non-negative integers n1 , . . . , n6 , where ni is the number of marbles of value i. So, the example from above would be described by the input-line "1 0 1 2 0 0". The maximum total number of marbles will be 20000.
The last line of the input file will be "0 0 0 0 0 0"; do not process this line.

Output

For each collection, output "Collection #k:", where k is the number of the test case, and then either "Can be divided." or "Can't be divided.".
Output a blank line after each test case.

Sample Input

1 0 1 2 0 0 
1 0 0 0 1 1 
0 0 0 0 0 0 

Sample Output

Collection #1:
Can't be divided.

Collection #2:
Can be divided.

Source

Mid-Central European Regional Contest 1999

背包问题求是否有解(可达)

#include<stdio.h>
#include<string.h>

int v[120001];
int a[7];

int main(void)
{
	int i,j,k,s,tmp,flag,t=1;
//	freopen("d:\\in.txt","r",stdin);
	while(1)
	{
		s=0;
		flag=0;
		for(i=1;i<=6;i++)
		{
			scanf("%d",&a[i]);
			s+=a[i]*i;
			if(a[i])
				flag=1;
		}
		if(!flag)
			break;
		printf("Collection #%d:\n",t++);
		memset(v,0,sizeof(v));
		v[0]=1;
		if(!(s%2))
		{
			for(i=1;i<=6;i++)
			{
				tmp=1;
				while(a[i]>=tmp)
				{
					for(j=s;j>=tmp*i;j--)
					{
						if(v[j-tmp*i])
							v[j]=1;
					}
					a[i]-=tmp;
					tmp*=2;
				}
				if(a[i])
					for(j=s;j>=a[i]*i;j--)
						if(v[j-a[i]*i])
							v[j]=1;
			}
			if(v[s/2])
				printf("Can be divided.\n\n");
			else
				printf("Can't be divided.\n\n");
		}
		else
			printf("Can't be divided.\n\n");
	}
	return 0;
}



【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
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