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一种很不错的全局搜索算法，源自于遗传算法，但效果比遗传算法好。很推荐用这个方法做优化-A very good global search algorithm, derived from the genetic algorithm, but the result was better than the genetic algorithm. Is recommended to use this method to optimize
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matlab 基本语句描述，及一些基本内部函数，很有用的，欢迎共享，-Differential evolution algorithm is very popular in recentyears, it iswidely used in complex optimi-
zation questionsbecause of it’s easy implementation and has less controlparameters. Butconventionaldifferen-
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This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want
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遗传算法基本理论 经典应用实例
演化程序——遗传算法和数据编码的结合-The basic theory of classical genetic algorithm application examples Evolution process, genetic algorithm and data coding
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基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫
优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa-
reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利
用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所
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遗传算法的描述，遗传算法是一种大致基于模拟进化的学习方法！
-Descr iption of the genetic algorithm, genetic algorithm is a general learning method based on simulated evolution!
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This program is kind of Evolution algorithm, namely DE (Differential Evolution).
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Thesis :- SSSC based damping controller using Differential Evolution Algorithm
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一种比较实用新型的基于微分进化的约束处理算法-A more practical new constraint-based processing algorithm Differential Evolution
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HYBRID BAT ALGORITHM WITH DEFERENTIAL EVOLUTION
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Evolution Strategy Algorithm
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PSO MATLAB cod related to evolution algorithm,for optimazation and numerical functions that have 1 or 2 variable or most
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遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的-Genetic Algorithm (based Algorithm) is a simulation Darwin the evolution natural selection and Genetic mechanism of biological evo
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java差分进化算法代码，代码准确率很高，其中有参照C++代码。-java differential evolution algorithm code
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This paper presents an overview of our most recent results concerning the Particle
Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for
detecting multiple minimizers are described. Moreover, results on the abil
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：LTE(Long Term Evolution，长期演进)系统中的小区初始搜索过程通过分别检测主同步信号(Primary Synchronization Signal，PSS)和辅同步信号(Secondary Synchronization Signal，SSS)来完成，搜
索结果包括小区组ID、符号定时、频偏估计、组内小区ID以及帧定时[1]。然而，若接收信号 1IDN 2IDN
中存在整数倍频偏，则由于时域的相位旋转，主
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本文提出了一种改进的差分进化算法SADE，将自适应选择更新公式和自适应调整参数的策略引入进来。-This paper introduces an self-adaptive differential evolution algorithm, experimental results demonstrated that the proposed algorithm achive great improvement on the standard verson.
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Gaussian Bare-Bones Differential Evolution
Differential evolution (DE) is a well-known algorithm
for global optimization over continuous search spaces. However,
choosing the optimal control parameters is a challenging task
because they are
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the BBO software for minimizing a continuous cost function. DE Differential evolution algorithm for optimizing a general function.
-the BBO software for minimizing a continuous cost function. DE Differential evolution algorithm for optimizing a g
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该2017版软件集成了竞赛争冠系列算法（含单目标寻优、多峰函数寻优、参数估计（拟合）等）和多种差分向量型式的差分进化算法。可对数学函数进行有或无约束优化、多峰函数优化等工作。其中改进竞赛争冠算法是近期本人的研究佳作。与现行优良的进化算法相比，颇具竞争力。(The 2017 version of the software integrates the series of race champion algorithm (including single objective optimization
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