搜索资源列表
knapsack
- 用GAlib库实现的解决0/1背包问题的遗传算法程序源代码。- Solution 0/1 knapsack question heredity algorithm procedure source code realizes which with the GAlib storehouse.
bag1
- 解决了背包问题的遗传算法求解，非常具有实用性-Solve the knapsack problem genetic algorithm, very practical
KGaBinnn
- 遗传算法解决复杂背包问题，用Java编写。该背包拥有3个属性，500个东西，50个包包。求解包与包之间物品重量差最小，并且同一个背包的物品属性有特殊要求。该程序容易修改。 -Genetic algorithms to solve complex knapsack problem, written in Java. The backpack has three properties, 500 things, 50 bags. Solv
GeneticAlgorithm
- 遗传算法解决背包问题和旅行商问题。 测试数据已经写入java代码中。 遗传算法的参数可以修改。-Genetic algorithm to solve the knapsack problem and the traveling salesman problem. The test data has been written to the java code. The parameters of the genetic algor
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
KnapsackProblem
- 利用遗传算法来精确地解决背包问题的编程代码-Knapsack problem using genetic algorithms to solve programming code
GA_knapsack
- 使用遗传算法解决0-1背包问题，算法效率好-The use of genetic algorithm to solve 0-1 knapsack problem, a good algorithm efficiency
KnacksackProblem_GA
- 应用遗传算法解决背包问题，采用二重结构编码，匹配映射交叉策略，倒位的变异策略.最终得到比较满意的结果。-Application of genetic algorithms to solve knapsack problem, the use of dual-structure code, cross-matching strategy mapping, inversion mutation strategy
GQA_backpak
- 解决背包问题遗传量子算法matlab实例-Quantum genetic algorithm to solve knapsack problem matlab examples
Genetic-Algorithm-
- 用遗传算法解决0_1背包问题，比较经典,适合做参考论文-0_1 knapsack problem solving using genetic algorithms, more classic, suitable reference paper
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-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.
bp
- 背包问题_遗传算法解决,matlab例程，数学建模常用算法-Genetic algorithm to solve knapsack problem _, matlab routines, mathematical modeling algorithms
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
GA
- matlab代码遗传算法解决背包问题，0-1整数规划问题-Genetic algorithm to solve knapsack problem, 01 integer programming problem
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
beibao
- 背包问题用遗传算法解决的一个例子-An example of using genetic algorithms to solve knapsack problem of
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
TSP
- 遗传算法在旅行商问题下的一种应用代码，一种能够解决多维背包问题的应用代码。-Genetic algorithm in the traveling salesman problem of a kind of application code, one can solve the multi-dimensional knapsack problem application code.
OwnTest
- 通过Java编码实现标准遗传算法（SGA）解决背包问题(Through Java coding, the standard genetic algorithm (SGA) is implemented to solve knapsack problem)