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基于GP、GA学习的遗传优化算法实现，里面还包括了作为病虫害预测预报的数据库。-based GP, GA studying the genetic optimization algorithm. which also included as a pest forecast database.
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前段时间用JAVA改写的遗传算法，只需要改变编码位数，适应函数即可用于别的数值优化，极度适合JAVA的朋友-earlier with JAVA rewrite the genetic algorithm, only need to change the code, the median fitness function can be used for other numerical optimization, extremely suitable for Java friends! !
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粒子群算法与遗传算法的结合研究，值得参考！-Particle Swarm Optimization and Genetic Algorithm for the combination of research
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遗传算法在求解多约束条件下的组合优化问题有独特优势，本代码是关于用遗传算法解决智能组卷问题的好例子。-Of genetic algorithm in solving the multi-constrained optimization problem under the condition of a unique combination of advantages, this code is on the use of genetic algorithm to solve the problem
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纯java编写的遗传算法程序，这是很不错的程序，提供了使用遗传算法的灵活性，可用于数学优化等很多领域。-Genetic algorithm written in pure java program, which is very good program, providing the flexibility of using genetic algorithms can be used in many areas of mathematical optimization.
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netlogo仿真程序，多目标遗传java相关源代码-netlogo simulation program，R based genetic algorithm for optimization, variable selection and other machine learning and statistical analysis approaches.
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由于遗传算法具有隐含的并行性和强大的全局搜索能力,可以在很短的时间内搜索到全局最优点。使用GA对SVM进行参数的优化,寻找最优的惩罚因子和SVM中RBF参数的组合。结合RBF参数r和惩罚因子C, 可以得到需要优化的参数组合。希望对大家有用！-Genetic algorithm with implicit parallelism and powerful global search capability, you can search within a very short period of t
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This is genetic algorithm for solving tsp problems with ant colony optimization. This is good solution.
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多目标遗传算法求解问题遗传算法求解问题 -Multi-objective optimization genetic algorithm
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Genetic algorithm based reactive power optimization, Course designed to prepare the matlab program code, PSS primary synchronization signal in the time domain simulation related.
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Stepwise linear regression, Acquisition and Processing of the speech signal, digital signal processing class-based, Genetic algorithm based reactive power optimization.
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Including principal component analysis, factor analysis, Bayesian analysis, Minimum mean square error (MMSE) algorithm, Genetic algorithm based reactive power optimization.
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IDW inverse distance weighting method, Genetic algorithm based reactive power optimization, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
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先是将多目标问题分解为单目标 （用切比雪夫和加权平均法）然后用遗传算法优化(Multi-objective optimization algorithm based on java language. First, the multi-objective problem is decomposed into single objectives (using Chebyshev and weighted average method) and then optimized by genetic a
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