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智能化算法的应用，介绍了各种智能算法的概况，详细介绍了蚁群算法、免疫算法、遗传算法、粒子群算法在配电网重构中的应用，可以管中窥豹地学习智能算法在具体问题中的应用-The application of intelligent algorithms, introduced an overview of the various intelligent algorithms, detailed information on ant colony algorithm, immune algorithm,
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支持向量机参数选择的相关中文文献，主要包括遗传算法、微粒子群算法、混沌优化算法等。-Chinese literature about Support vector machine parameters, including genetic algorithms, Particle swarm optimization, Chaos optimization algorithm.
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某些实际问题的优化目标是求所有的局部最优解，即求解多峰寻优问题，为了求解多峰优化问题，提出了改造的微粒
群优化算法．尽量减少微粒群算法中的全局因素，从而增大其局部因素，同时采用变步长方法增加微粒的多样性．并给出了该算法
的原理和步骤．仿真实验表明该算法概念清楚，计算简单，具有很好的局部寻优特性，可应用求解于多峰寻优问题．另外还给出了几
个运算实例和与其它优化算法的比较-Some of the practical problems of optimization goal is
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Optimization problems are very important in many fields. To the present,
many optimization algorithms based on computational intelligence have been proposed,
such as the Genetic Algorithm, Ant Colony Optimization (ACO), and Particle Swarm
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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粒子群算法源程序，是近年来发展起来的一种新的进化算法。有实现容易、精度高、收敛快等优点。是一种并行算法。-Particle swarm algorithm source code, is a new evolutionary algorithm developed in recent years. There are easy to implement, high precision, fast convergence and so on. Is a kind of parallel algor
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除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
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联合稀疏恢复的Swarm算法，在基本particle swarm optimization (PSO)算法基础上进行改进-Inspired by particle swarm
optimization (PSO) algorithm and some sparse recovery algorithms,
a novel swarm intelligence algorithm called M-SISR is
proposed to solve the problem. In M-
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粒子群算法求极值蚁群算法求极值和遗传算法求极值-Particle Swarm extremum extremum ant colony algorithm and genetic algorithms Extreme
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