搜索资源列表
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自适应多目标优化粒子群算法源程序,这是一个C语言编制的源程序,很实用.,Adaptive multi-objective particle swarm optimization algorithm source code, which is a C language source program, it is practical.
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多目标粒子群算法 多目标部分是通过for循环实现的。-Multi-objective particle swarm optimization algorithm for multi-objective in part by recycling achieved.
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使用C 语言编写的 多目标的粒子群优化算法 MOPSO 可以运行 内含测试函数 可以多功能运行-Using the C language for multi-objective particle swarm optimization algorithm MOPSO can run embedded test function can be multi-run
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粒子群算法的多用户检测。希望对智能算法感兴趣的人有用。-Particle Swarm Optimization of Multi-User Detection. I hope the smart people who are interested in a useful algorithm.
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介绍粒子群算法的多用户检测。里面有四个程序。-Particle Swarm introduced multi-user detection. There are four procedures.
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一种计算全局拥挤距离多目标优化粒子群算法源程序,这是一个C语言编制的源程序,很实用.-A calculation of the overall crowding distance of multi-objective particle swarm optimization algorithm source code, which is a C language source program, it is practical.
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自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
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多AGENT粒子群算法，利用VC++实现-Multi-particle swarm optimization AGENT
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实现多目标粒子群优化功能，重点是进化因子的选取。-Multi objective particle swarm optimization, with emphasis on evolutionary selection factor.
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Multi objective Particle Swarm with Crowding Distance by P. C. Naval in C language
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基于C语言的多目标粒子群优化算法，主要用于各种优化工作，例如机器人的运动轨迹的优化等等.
-C-based multi-objective particle swarm optimization algorithm, mainly used for a variety of optimization, for example, the robot trajectory optimization.
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一种基于组织的粒子群优化的的最大类间方差图像多阈值分割
-Based organization particle swarm optimization maximum between-class variance image multi-threshold segmentation
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多阈值图像分类的粒子群优化算法，采用自然方法来提提高优化速度和计算量 ，经测试可直接使用。
-Multi-threshold image classification particle swarm optimization algorithm, the use of natural methods to mention improve optimization speed and computational been tested and can be used directly.
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采用粒子群算法，解决不确定性环境中，机器人路径规划问题-Robot path planning in uncertain environment using multi-objective particle
swarm optimization
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学习灰色理论方面，估计对你很有帮助，同时有运行截图，基于粒子群优化与灰色系统理论的多目标优化程序-Learn gray theory, we estimate that helpful to you, while running shots, based on particle swarm optimization and gray system theory of multi-objective optimization procedure
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联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法-the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was p
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粒子群优化算法(Particle Swarm optimization,PSO)又翻译为粒子群算法、微粒群算法、或微粒群优化算法。是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。通常认为它是群集智能 (Swarm intelligence, SI) 的一种。它可以被纳入多主体优化系统(Multiagent Optimization System, MAOS).粒子群优化算法是由Eberhart博士和kennedy博士发明。-PSO (Particle Swarm optimiz
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实现多目标粒子群优化功能，重点是进化因子的选取-implementation of multi objective particle swarm optimization function, the key is to the evolutionary factor!!
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多目标粒子群优化算法C++代码，一个墨西哥人写的-Multi-objective particle swarm optimization C++ code, written in a Mexican
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多目标优化的粒子群算法，基于粒子群改进算法，设置非劣解，对多目标进行优化。-Multi-objective optimization of particle swarm optimization (pso) algorithm
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