搜索资源列表
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一系列好用的用户友好的启发式优化算法，包括非自适应算法，基于模拟退火算法的种群算法，基本遗传算法，差分进化算法以及粒子群优化算法。此外，也包括神圣算法，它利用了所有这些优化算子，虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic A
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采用遗传微粒群算法（GPSO）求解旅行商问题（TSP）的源代码。内附多个算例，本算法对于中小规模问题求解效率很高，对于大大规模问题则效率略低。如有任何疑问。
-Genetic particle swarm optimization (GPSO) for solving the traveling salesman problem (TSP) source code. Included several examples of this algorithm for small and mediu
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为本人毕业设计里，粒子群算法的一个应用，求解51个城市的TSP问题，城市的个数和位置都可以改动，并与遗传算法求解的结果进行对比!-I graduated from the design, the application of the particle swarm algorithm for solving the 51 cities TSP problem, the number and location of the city can be altered, and compared with
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粒子群算法混合遗传算法代码，经过本人修改，方便实用。-Particle swarm optimization hybrid genetic algorithm code, after I modify, convenient and practical.
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智能优化算法作为新兴的搜索算法，一般是指利用自然界的生物系统与优化过程的某些相似性而逐步发展起来的优化算法，如遗传算法、粒子群算法、蚁群算法等，它们通过对搜索空间中的一组解按概率规则操作得到下一组解。
人工鱼群算法源于对鱼群运动行为的研究，是一种新型的智能仿生优化算法。它具有较强的鲁棒性、优良的分布式计算机制、易于和其它方法结合等优点。目前对该算法的研究、应用已经渗透到多个应用领域，并由解决一维静态优化问题发展到解决多维动态组合优化问题。
-As an emerging intell
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Performance comparison of Genetic Algorithm, Particle swarm optimization and Hybrid evolutionary algorithm in beamforming
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粒子群算法的智能优化，PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解-Particle swarm intelligence optimization, PSO algorithm is an evolutionary algorithm, and genetic algorithm similarity, it is also starting from a random solution, find the optimal solution by it
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目前智能算法越来越受到人们的关注,如神经网络、遗传算法、蚁群算法、粒子群算法等,蚁群算法是受自然界中蚂蚁搜索食物行为启发而提出的一种智能优化算法。-Currently more and more intelligent algorithm attention, such as neural networks, genetic algorithms, ant colony algorithm, particle swarm algorithm, ant colony algorithm is af
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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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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 s
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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 in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
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猫群群算法解决优化问题，比遗传算法和粒子群算法更优-Cat contemplating the algorithm to solve optimization problems, and better than genetic algorithm and particle swarm algorithm
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关于vb的遗传算法和粒子群算法的例子，很实用-Examples of genetic algorithm and particle swarm optimization!
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差分和粒子群遗传算法以及改进的matlab源程序-Differential and particle swarm genetic algorithm and improved matlab source
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这是一种遗传算法和BP网络结合的算法，粒子群和BP网络，这两种算法进行结果比对。(This is a genetic algorithm and BP network combination algorithm, particle swarm and BP network, the two algorithms for results comparison.)
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这是一个智能算法程序吧，里面有模拟退火算法，遗传算法，粒子群算法等等，希望这些算法对初学者来说有用处。(This program is an intelligent algorithm, simulated annealing algorithm, genetic algorithm, particle swarm optimization (pso) algorithm and so on, hope that the algorithm is useful for beginners.)
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帝国竞争算法是一种新型算法，可用于求解最优化问题。类似遗传和粒子群算法！(The Empire competition algorithm is a new algorithm that can be used to solve optimization problems. Similar to genetic and particle swarm optimization!)
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混合粒子群算法摒弃了传统粒子群算法中的通过跟踪极值来更新粒子位置的方法，而是引入了遗传算法中的交叉和变异操作，通过粒子同个体极值和群体极值的交叉以及粒子自身变异的方式来搜索最优解。(Hybrid particle swarm algorithm instead of the traditional particle swarm algorithm in the method to update the position of the particle by tracking the maximu
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测试函数：主要用于测试智能优化算法，如遗传算法、粒子群算法等的性能(Test function: it is mainly used to test the performance of intelligent optimization algorithms, such as genetic algorithm and particle swarm optimization algorithm)
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遗传算法与粒子群算法优化BP，有较好的分类效果(BP optimization based on Genetic Algorithm and particle swarm optimization)
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