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背包问题的遗传算法解法 背包问题的遗传算法解法-knapsack problem genetic algorithm method knap sack problem GA knapsack asked Solution that the genetic algorithm method knapsack problem Genetic Algorithm Solution
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背包问题的遗传算法解法-knapsack problem Genetic Algorithm Solution
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本程序实现0-1背包问题的遗传算法的并行计算,mpi+c语言-This procedure achieved 0-1 knapsack problem genetic algorithm parallel computing, mpi+ c language
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利用遗传算法解决背包问题,对遗传算法和编程的学习有一定帮助-The use of genetic algorithms to solve knapsack problem, genetic algorithms and programming of learning to some extent help the
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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
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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
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遗传算法解决背包问题,即装入物体容量有限,每个物体有不同价值,使得最终价值最高。-Genetic algorithm to solve knapsack problem, namely the limited capacity of loaded objects, each object has a different value, making the final value.
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Knapsack Problem - Genetic Algorithm. Results can be compared with optimal value obtained from function using Dynamic Programming.
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遗传算法解决的背包问题,初学者遗传算法的同学必看。-Genetic algorithm to solve the knapsack problem, genetic algorithm beginner students must-see.
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基于遗传算法的背包问题求解,遗传算法,背包问题。-Based on genetic algorithm to solve knapsack problem, genetic algorithms, knapsack problem.
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背包问题,遗传算法,基于遗传算法的背包问题求解-Knapsack problem, genetic algorithm, based on genetic algorithms for solving knapsack problem
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遗传算法在求解背包问题中的应用,遗传算法,背包问题-Genetic Algorithm for Solving Knapsack Problem, genetic algorithm, knapsack problem
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背包问题,遗传算法,GAs,基于遗传算法求解背包问题-Knapsack problem, genetic algorithms, GAs, Knapsack Problem Based on Genetic Algorithm
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背包问题,遗传算法,GAs,基于遗传算法求解背包问题,算法-Knapsack problem, genetic algorithms, GAs, knapsack problem based on genetic algorithm, the algorithm
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背包问题,遗传算法,GAs,基于遗传算法求解背包问题,源码,方法-Knapsack problem, genetic algorithms, GAs, Knapsack Problem Based on Genetic Algorithm
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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
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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
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Binary Knapsack Problem implementation using Genetic Algorithm.
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binary knapsack problem using genetic algorithm
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visual c++背包问题遗传算法求解,含注释(visual C++ knapsack problem genetic algorithm solution, containing annotation)
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