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
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
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
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.
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.
30个智能算法模型
- 1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-obje