搜索资源列表
i-ant
- 采用了基本的蚁群算法来求解0-1背包问题，该算法不仅可以对0-1背包问题进行求解，还可以对多维背包问题进行求解。-Using the basic ant colony algorithm to solve the 0-1 knapsack problem, the algorithm not only for the 0-1 knapsack problem can be solved, but also multi-dimensional knapsack problem can be sol
aa
- 遗传算法 遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm genetic algorithm GA (Genetic Algo
knapsack_win
- 多目标背包问题的源码 希望对大家有用 很经典的 从Ziztler哪里得到的-Multi-objective knapsack problems code
Mixed-leapfrog-algorithm-to-solve-multi-knapsack-p
- 混合蛙跳算法解决多背包问题，此算法是在vs2005下编写，语法为基本的c语言（可以直接复制源码到vc中运行）-Mixed leapfrog algorithm to solve multi-knapsack problem, this algorithm is prepared in vs2005, the syntax for basic c language (can copy the source code to run vc)
moga
- Genetic Algorithm for multi objective knapsack problem
bag
- 有关背包方面的问题，包括普通背包，复杂背包，多重背包，背包的泛化物品-For knapsack problems, including ordinary backpack, backpack complex, multi-pack, backpack generalization items
suanfashiyan
- 十个算法小程序：二分法、循环赛日程算法、归并分类算法、贪心算法、背包问题、最优装载、动态规划（多段图、0-1背包、资源分配问题）、回溯和分支限界法（子集和数问题）-Ten algorithm applet: dichotomy, round robin scheduling algorithms, merge classification algorithm, greedy algorithm, knapsack problem, the optimal loading, dynamic pro
moPSO
- 基于多目标的PSO用于解决背包问题的程序，运行上比较花时间，请耐心等待。-Procedures used to solve the knapsack problem based on multi-objective PSO run more to spend time, please be patient.
multi-knapsack(queue)
- 多重背包的单调队列解法，经过测试完美运行！-Multiple backpack monotonous queue solution has been tested and works perfect!
PSO
- 采用基于粒子群的多目标优化算法解决背包问题。-Using multi-objective particle swarm optimization algorithm to solve knapsack problem.
yichuansuanfa5
- 通过遗传算法计算多背包问题-Computing multi knapsack problem by genetic algorithm
MOEAD_KNAPSACK
- MULTI OBJECTIVE KNAPSACK PROBLEMS IS BUILT IN VISUAL C-MULTI OBJECTIVE KNAPSACK PROBLEMS IS BUILT IN VISUAL CPP
include
- 1）编程递归实现0-1背包问题并回溯求出问题的解向量（即X[N]的值）和多段图的最短路经问题的动态规划算法。 2）图的数据结构采用邻接表。 3） 要求用文件装入5个多段图数据，编写从文件到邻接表的函数。 4）验证算法的时间复杂性。 5）0-1背包问题的实验数据见实验二的背包问题数据。 -1) programming recursive implementation of the 0-1 knapsack problem and backtracking to solve th
ym_C.GA_for_Knapsack_Problem_hicode
- 遗传算法用于求解多目标背包问题，学包括基本的选择、杂交、变异等遗传算子.-Genetic algorithm for solving multi-objective knapsack problem, learning the basic choice, hybridization, mutation and other genetic operators.
knapsack-problem
- 背包问题即给定一组物品，每种物品都有自己的重量和价格，在限定的总重量内，我们如何选择，才能使得物品的总价格最高。-A hybrid algorithm combining ant colony system with multi-choice Knapsack problem was proposed.
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.
PSO
- 基于粒子群算法的多目标搜索算法，本案例采用多目标粒子群算法求解多目标背包问题。-Multiple target search algorithm based on particle swarm optimization (pso) algorithm, this case USES the multi-objective particle swarm optimization (pso) algorithm to solve multi-objective knapsack problem.
main
- 采用多目标粒子群算法求解多目标背包问题 问题：假设存在五类物品，每类物品又包含四种具体物品，要求从五类物品中分别选择一种放入背包，使得背包总价值最大，总体积最小，总质量不超过92kg(The problem is solved by multi objective particle swarm optimization algorithm, multi-objective knapsack problem: suppose there are five categories of goods,
PSO算法解决背包问题
- 粒子群算法与多目标优化问题的结合，解决背包问题实例(Combining particle swarm optimization with multi-objective optimization, we solve knapsack proble)