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2下载:
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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本程序利用遗传算法解决背包文件问题。本程序利用遗传算法解决背包文件问题。-This procedure using the genetic algorithm to solve knapsack problem document. This procedure using the genetic algorithm to solve knapsack problem document.
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采用遗传算法解决0-1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-Using genetic algorithm to solve the 0-1 knapsack problem, that is, limited capacity into objects, each object has a different value, making the final value of the maximum
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基本遗传算法带最优保存思想的背包问题,其中,目标值那段代码使用的是惩罚函数法,选择是概率选择,交叉是双点随机交叉,变异是概率变异-The basic genetic algorithm with elitist thinking knapsack problem, which is a target that part of the code using penalty function method, choice is the probability of selection, crosso
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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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用C#来实现遗传算法中的背包问题。其中只有变异过程。-Using C# to implement the genetic algorithm knapsack problem. Only mutation process.
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本程序将遗传算法应用于背包问题。借助了大自然的演化过程,是多线索而非单线索的全局优化方法,采用的是种群和随机搜索机制. -This procedure will be applied to knapsack problem genetic algorithm. With the evolution of nature, is more than a single clue leads the global optimization method, using population and ran
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背包问题,用遗传算法解决,并在VC++环境下调试通过,得到正确结果,可供参考,源码C文件中有较详细的注释-Knapsack problem, using genetic algorithm, and in the VC++ debugging environment through, get the correct results, for reference, source C files in more detailed comments
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利用遗传算法解决的背包问题,程序开发环境:Visual C++6.0-Using genetic algorithm to solve the knapsack problem, program development environment: Visual C++6.0
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用遗传算法计算背包问题的经典程序,word的文档里面有说明和程序。-Knapsack problem using genetic algorithm the classic program, word document which has instructions and procedures.
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用遗传算法求解背包问题,用启发式算法求解背包问题。-Knapsack problem using genetic algorithm, heuristic algorithm for solving knapsack problem.
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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
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使用遗传算法解决经典的背包问题,即整数规划问题。-Using genetic algorithm to solve the classic knapsack problem, that is, the problem of integer programming.
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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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The zip file contain a program on solving knapsack problem using genetic algorithm.
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利用遗传算法解决背包问题给定10个物品及其重量,放入总重量为25的背包(Using genetic algorithm to solve knapsack problem, give 10 items and their weight, and put them in a total weight of 25 knapsack.)
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使用遗传算法解决01背包问题,并输出得到最大价值的遗传代数以及每一代的最大价值(Using genetic algorithm to solve 01 knapsack problem)
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使用遗传算法解决0-1背包问题,调试成功,非常适合初学者了解遗传算法和0-1背包问题(Using genetic algorithm to solve 0-1 knapsack problem, debugging is successful. It is very suitable for beginners to understand genetic algorithm and 0-1 knapsack problem.)
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用遗传算法解决背包问题,供大家参考交流。。。(Using genetic algorithm to solve the knapsack problem, for your reference and exchange...)
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