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遗传算法解决背包问题，其中包括算法编码初始化，交叉，变异和惩罚策略，很好的解决了背包问题-Genetic algorithm to solve knapsack problem, including the coding algorithm initialization, crossover, mutation and punishment strategy, a good solution to the knapsack problem
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背包问题用遗传算法的一种简单程序，所用语言是c语言。-Knapsack problem with a simple genetic algorithm procedure, the language is c language.
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0-1遗传算法实现 可以解决简单的背包问题-0-1 simple genetic algorithm can solve the knapsack problem
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用C语言来解决遗传算法的经典问题——背包问题。-Using C language to solve the classic problem of genetic algorithms- Knapsack Problem.
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基于遗传算法求解背包问题，本程序采用c++编写，求解不同问题是只需修改物品的重量、价值-Knapsack problem based on genetic algorithm, the program uses c++ written to solve different problems is to simply change the weight of worth
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用VC++编程运用遗传算法及其改进模式求解01背包问题-VC++ programming with the use of genetic algorithm and its improved model for solving knapsack problem 01
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遗传算法解决背包问题，代码功力深厚。
更个王振的东西。很好-Genetic algorithm to solve knapsack problem, the code profound skill.
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遗传算法解决背包问题，代码功力深厚。
更个王振的东西。很好-Genetic algorithm to solve knapsack problem, the code profound skill.
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基于遗传算法的背包问题优化 论文 代码
交叉 编译 选择-Knapsack problem based on genetic algorithm optimization of cross-compiled code selected papers
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遗传算法解决0-1背包问题，动态规划算法-Genetic algorithm to solve 0-1 knapsack problem, dynamic programming algorithm
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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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本资料详细介绍了有关启发式算法的重要内容，包括模拟退火方法，遗传算法，动态规划，背包问题，对相关的研究有帮助。-This information details the important heuristic, including simulated annealing, genetic algorithms, dynamic programming, knapsack problem, the related research help.
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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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本程序实现遗传算法求解0-1背包问题，c语言-The genetic algorithm program to achieve 0-1 knapsack problem, c language
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将贪婪修复方法与遗传算法相结合，构成混和遗传算法，并求解经典背包问题。-The greedy repair method and genetic algorithm combined to form hybrid genetic algorithm, and solve the classic knapsack problem.
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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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遗传算法解决组合优化问题，0-1背包问题-Genetic algorithm to solve combinatorial optimization problems, 0-1 knapsack problem
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在C++环境下，基于遗传算法解决背包问题。-In the C environment, based on genetic algorithm to solve the knapsack problem.
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标准遗传算法背包问题，标准遗传算法，背包问题，源码注释-standard genetic algorithm ——knapsack problem
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遗传算法解决复杂背包问题，用Java编写。该背包拥有3个属性，500个东西，50个包包。求解包与包之间物品重量差最小，并且同一个背包的物品属性有特殊要求。该程序容易修改。
-Genetic algorithms to solve complex knapsack problem, written in Java. The backpack has three properties, 500 things, 50 bags. Solving package and package goods
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