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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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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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主要采用遗传算法解决背包问题。是值得学习算法。-By using the genetic algorithm to solve the main knapsack problem. Is worth learning algorithm.
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