搜索资源列表
bag
- C++实现的，遗传算法解决背包问题，很经典-C++ implementation of genetic algorithm to solve knapsack problem, it is classic
GA
- 本程序是在MATLAB平台上，利用智能优化算法遗传算法来解决01背包问题。在0 / 1背包问题中，需对容量为c 的背包进行装载。从n 个物品中选取装入背包的物品，每件物品i 的重量为wi ，价值为pi 。对于可行的背包装载，背包中物品的总重量不能超过背包的容量，最佳装载是指所装入的物品价值最高。-This procedure is in the MATLAB platform using intelligent genetic algorithm optimization algorithm t
KnapsackProblem
- 基本遗传算法带最优保存思想的背包问题，其中，目标值那段代码使用的是惩罚函数法，选择是概率选择，交叉是双点随机交叉，变异是概率变异-The basic genetic algorithm with elitist thinking knapsack problem, which is a target that part of the code using penalty function method, choice is the probability of selection, crosso
TSP_GA_10Cities_New
- 遗传算法解10个城市的背包问题，独立新开发源码（nxn matrix for city distances）- The Traveling Salesman Problem: A Case Study in Optimization via Genetic Algorithms (nxn matrix for city distances)
knapsack
- 利用遗传算法解决0-1背包问题的c++程序代码-Genetic algorithm to solve the knapsack problem c++ program
NP-hard-problem
- matlab模拟退火算法，处理背包问题，相比较与遗传算法模拟退火原理简单，编译容易-matlab simulated annealing algorithm to handle the knapsack problem, compared with the genetic simulated annealing algorithm is simple, easy to compile
ACO_GA_PSO
- 用三种方法解决城市距离问题（或背包问题）。三种方法分别为：遗传算法，蚁群算法，粒子算法。-Three ways to solve the problem of urban distance (or knapsack problem). Three methods are: genetic algorithm, ant colony algorithm, particle algorithm.
ga
- maltab j求解背包问题 遗传算法-maltab 0-1bag gasuanfa
GA-knapsack-
- 遗传算法解决背包问题。内含genetic工具包。-Genetic algorithm to solve knapsack problem. Contains genetic toolkit.
bagcheng
- 利用遗传算法二值化编码方法解决背包问题。遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。-Genetic Algorithm
GA0-1beibao
- Matlab 代码，用遗传算法解决01背包问题-Matlab code, using genetic algorithms to solve knapsack problem 01
TSP
- 1.用模拟退火解决TSP问题 2.用遗传算法解决0/1背包问题-1. solve TSP problem using simulated annealing 2. 0/1 knapsack problem solved using genetic algorithms
背包问题
- 算法效果较为良好，实现背包问题价值最大，采用遗传算法实现的比较不错的结果(The algorithm effect is good, the maximum value of the knapsack problem, genetic algorithm is used to achieve good results)
matlab程序（解决0-1背包问题）
- 使用遗传算法解决0-1背包问题，调试成功，非常适合初学者了解遗传算法和0-1背包问题(Using genetic algorithm to solve 0-1 knapsack problem, debugging is successful. It is very suitable for beginners to understand genetic algorithm and 0-1 knapsack problem.)
NSGA2解决0-1背包问题
- 用遗传算法解决背包问题，供大家参考交流。。。(Using genetic algorithm to solve the knapsack problem, for your reference and exchange...)