搜索资源列表
GenerationAl
- 用遗传算法解0/1背包问题，背包问题是著名的NP完备类困难问题，此处给出解法。-Genetic Algorithm for 0 / 1 knapsack problem, knapsack problem is a well-known class of NP-complete problems. Solution is here.
Based
- 基于遗传算法的0-1背包问题的求解，可进一步另深对遗传算法理解，学习算法分析与设计的可以-Based on Genetic Algorithm for Solving 0-1 Knapsack Problem
backpack-ga-algorithm
- 背包问题或0-1背包问题遗传算法程序，里面用的实数编码方式值得借鉴。-0-1 knapsack problem or knapsack problem genetic algorithm procedure, which uses real coding can be learned.
GeneticAlgorithmsToSolveKnapsackProblem
- 用遗传算法解决背包问题，遗传算法的优势在于解决优化问题，对背包问题进行编码，然后随机产生使出样本，通过交叉，编译等操作来找到优化问题的解-Using genetic algorithms to solve knapsack problem, the advantage of genetic algorithms to solve optimization problem, knapsack problem is encoded, and then resorted to randomly gen
GA
- 遗传算法 0-1背包问题的代码 初始群体 选择 交叉 变异 评估函-0-1 knapsack problem genetic algorithm code for the initial assessment of functional group selection crossover and mutation
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