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bbbb
摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected
optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate
entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver-
gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective
space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis-
ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)
- 2010-01-09 13:08:12下载
- 积分：1
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equalizer
10-band equalizer with three filter
- 2011-05-08 17:45:22下载
- 积分：1
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M文件
说明： 相量测量工具的优化配置，相量测量装置的功能，向量测量装置的用途(Optimal pmu Placement)
- 2020-04-15 21:05:21下载
- 积分：1
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PSOTool
求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强等优点。粒子群优化算法已在函数优化、神经网络设计、分类、模式识别、信号处理、机器人技术等许多领域取得了成功的应用。 本函数包带函数，测试函数与使用简介(Methods for solving nonlinear equations and the recent popular classical algorithm genetic algorithm. Newton s method and its improved form, but such convergence of the algorithm is largely dependent on the choice of the initial point, for some nonlinear equations solved easily lead to failure In order to overcome the shortcomings of classical algorithms designed for solving nonlinear Equations hybrid genetic algorithm, but still on the equations and the encoding method has high requirements. PSO is social behavior by birds or fish inspired the formation of a population-based stochastic optimization techniques. It is a class of stochastic global optimization technique, through complex interaction between particles found in the search space optimum area. The algorithm is a novel based on swarm intelligence evolutionary computation techniques, with a simple and easy to achieve, set few parameters, global optimization ability, etc.. Particle swarm optimization in function optimizatio)
- 2020-09-29 17:17:44下载
- 积分：1
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henon
This code is useful for time series problem.
- 2014-09-17 14:29:50下载
- 积分：1
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all_code
matlab程序大全：工时统计，足球游戏、楼梯智力游戏等(The matlab program Guinness: working hours statistics, football games, stairs puzzles)
- 2013-02-21 14:16:36下载
- 积分：1
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level_set_methods_1.1
ACTIVE CONTOUR LEVEL SET METHOD
- 2014-12-18 17:53:41下载
- 积分：1
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exam
这是空载合闸的matlab/simulink的模型，能够较好的观察到空载合闸的电流畸变波形，对初学者能够有更好的帮助。(This is a matlab/simulink model with no load switching. It can better observe the current distortion waveforms of no-load switching, which can help the beginners better.)
- 2018-05-19 15:00:18下载
- 积分：1
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LSE
simulation of ofdm using least square techniques
- 2010-04-26 02:25:07下载
- 积分：1
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B1_Iabo_rsp
求解任意阶数（大于0）的分数积分，要求输入时间数组和函数值数组(Solving any order (greater than 0) fractional integral, requiring the input time array and the array of function values)
- 2012-05-22 20:50:48下载
- 积分：1
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