搜索资源列表
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Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters
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采用差分进化算法结果的单目标函数优化,可以直接运行-Differential evolution algorithm using a single objective function optimization results can be run directly
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全局优化的进展算法,能够保证收敛到全局极值-DIFFERENTIAL EVOLUTION ALGORITHM OF GLOBAL OPTIMIZATION, THIS METHOD WAS PROPOSED BY R. STORN AND K. PRICE
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差分进化运算
matlab的源代码
操作简便,可以直接带入。-Differential evolution source computing
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哈尔滨工程大学word格式论文,基于差分演进算法的TDOA定位技术。提出了三种新的定位算法:基于TDOA的Chan-GA算法、Chan-DE算法和Chan-IDE算法。并在相同的仿真环境下进行比较,仿真结果表明,在保证种群数量的情况下,所提的算法性能稳定,能找到逼近全局最优点的解,相对于Chan算法精度更高,相对于以前的算法在保证收敛性能的前提下有更快的收敛速度。-Harbin Engineering University, word format papers, based on differ
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In this paper, a novel Discrete Particle Swarm Optimization Algorithm
(DPSOA) for data clustering has been proposed. The particle positions and velocities
are defined in a discrete form. The DPSOA algorithm uses of a simple probability
approach
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用差分进化算法求解带有约束的混合整数规划问题-Using differential evolution algorithm for solving mixed integer programming with constraints problem
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差分进化算法代码,请下载使用,很有学习价值,我已验证可以使用-Differential evolution algorithm code, please download, it is worth learning, I' ve verified that you can use
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标标的差分进化算法,1995年由R.Storn提出。一种全局搜索最优的方法,以简单高效,可靠,鲁棒性好著称。-Standard target differential evolution algorithm, proposed in 1995 by R.Storn. A global search for the optimal approach to simple and efficient, reliable, known for its good robustness.
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基于成功历史记录的参数自适应差分进化算法-Success-History Based Parameter Adaptation for Differential Evolution
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Adaptive Composite Differential Evolution Algorithm 自适应复合差分进化算法-Differential Evolution with Composite Trial Vector
Generation Strategies and Control Parameters
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差分演化模板程序,matlab函数优化。-Differential evolution template program, matlab function optimization.
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基于改进差分演化算法的石油层评价指标的特征选择-Feature improved oil layer evaluation based on differential evolution algorithm choice
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k程序差分进化工具箱 - DeMatMATLAB包括拥有数百个内部函数的主包和三十几种工具包。工具包又可以分为功能性工具包和学科工具包。功能工具包用来扩充MATLAB的符号计算,可视化建模仿真,文字处理及实时控制等功能。学科工具包是专业性比较强的工具包,控制工具包,信号处理工具包,通信工具包等都属于此类。-k programs differential evolution toolbox- DeMatMATLAB including internal functions with hundred
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差分进化算法(DE)是一种用于优化问题的启发式算法。本质上说,它是一种基于实数编码的具有保优思想的贪婪遗传算法[1] 。同遗传算法一样,差分进化算法包含变异和交叉操作,但同时相较于遗传算法的选择操作,差分进化算法采用一对一的淘汰机制来更新种群。由于差分进化算法在连续域优化问题的优势已获得广泛应用,并引发进化算法研究领域的热潮。 差分进化算法由Storn 以及Price [2]提出,算法的原理采用对个体进行方向扰动,以达到对个体的函数值进行下降的目的,同其他进化算法一样,差分进化算法不利用函数的梯
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matlab基本差分进化算法,仅供参考,包括种群变异,交叉、选择生成下一代种群的过程-matlab basic differential evolution algorithm, for reference, including the population variation, crossover, select the process to generate the next generation of population
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差分进化算法matlab源代码用于寻找函数极小值,附有多个测试函数-Differential evolution algorithm matlab source code used to find the minimum function, with multiple test functions
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基于差分进化算法求解的TSP问题。运用LOV策略,成功将DE应用在离散组合优化问题当中。-Based on differential evolution algorithm for solving TSP problem. Use LOV strategy successfully applied in DE among discrete combinatorial optimization problems.
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差分进化算法是遗传算法的一种,该段代码实现该算法功能,简单易懂-Differential evolution algorithm is a genetic algorithm, the function of the code implementing the algorithm is simple and easy to understand
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运用差分进化算法(DE)优化分数阶pid控制器-Use of differential evolution algorithm (DE) optimization of fractional order pid controller
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