Search - Fish swarm optimization

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[AI-NN-PR] 1234 DL : 0: 组合优化问题的人工鱼群算法应用通过模仿鱼类的行为方式,提出了一种基于动物自治体的优化方法—人工鱼群算法(Artificial Fish- school Al2 gorithm) ,并将其用于组合优化问题的求解. 介绍了该算法在此类问题求解中的距离、邻域等概念,给出了具体的实现方法. 最后以TSP 问题为例对该算法进行仿真测试. 结果表明它具有快速收敛的能力.-Combinatorial optimization problems through the application of artificial fish-swarm algorithm to imitate the behavior of fish, an animal-based self-governing body of the optimization method- artificial fish-swarm algorithm (Artificial Fish-school Al2gorithm), and their use for solving combinatorial optimization problems . Introduction of the algorithm for solving such problems in the distance, the concept of neighborhood is given a specific method. Finally to TSP as an example of the algorithm simulation tests. The results show that it has the ability to fast convergence.
Date : 2025-12-16 Size : 98kb User : 馨竹
[AI-NN-PR] ArtificialFishesAlgorithm DL : 0: 介绍了一种新型的智能优化方法_人工鱼群算法-Introduce a new type of intelligent optimization methods _ artificial fish-swarm algorithm
Date : 2025-12-16 Size : 293kb User : 钱伟
[AI-NN-PR] xia DL : 0: 人工鱼群算法是一种寄予动物行为的自治体寻优模式。-Artificial fish-swarm algorithm is a kind of animal behavior have great self-governing body optimization model.
Date : 2025-12-16 Size : 1.07mb User : 赵伟
[AI-NN-PR] PID DL : 0: PID类的仿生算法文章。有遗传算法、粒子群算法、细菌觅食算法、鱼群算法。-PID class bionic algorithm article. A genetic algorithm, particle swarm optimization, bacteria foraging algorithm, fish algorithm.
Date : 2025-12-16 Size : 22.72mb User : 郭学会
[AI-NN-PR] PSO_CPP DL : 0: 微粒群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。微粒群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。-Particle Swarm Optimization (PSO) is a population based stochastic optimization technique by Eberhart and Kennedy made in 1995. PSO algorithm to imitate insects, herds, birds and fish such as cluster behavior, these groups according to a collaborative approach in search of food, each member of the group through its own experience and learning experiences of other members to the changing The search mode.
Date : 2025-12-16 Size : 10kb User : 王健
[AI-NN-PR] AFSA DL : 0: 人工鱼群算法的实现代码，有效处理优化寻优问题，比遗传算法具有更好优化效果-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
Date : 2025-12-16 Size : 5kb User : hobby
[AI-NN-PR] 002 DL : 0: 人工鱼群算法是一种基于行为的人工智能思想,通过鱼在水里的行为方式模拟构建了一种鱼群模式,用来解决寻优问题-Artificial fish swarm algorithm is a behavior-based artificial intelligence thinking to build a fish model, simulate the behavior of fish in the water, used to solve the optimization problem
Date : 2025-12-16 Size : 2kb User : 何傻子
[AI-NN-PR] chapter6 DL : 0: 。《MATLAB智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic algorithm, immune algorithm and annealing algorithm, particle swarm optimization, fish swarm algorithm, ant colony algorithm and neural network algorithm most commonly used intelligence algorithm in MATLAB. High reference value for the majority of researchers.
Date : 2025-12-16 Size : 1kb User : jueyouli
[AI-NN-PR] MATLAB-30-Cases DL : 2: 。《MATLAB智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic algorithm, immune algorithm and annealing algorithm, particle swarm optimization, fish swarm algorithm, ant colony algorithm and neural network algorithm most commonly used intelligence algorithm in MATLAB. High reference value for the majority of researchers.
Date : 2025-12-16 Size : 1.47mb User : jueyouli
[AI-NN-PR] yuqunsuanfa DL : 0: 该程序是基于鱼群算法的函数寻优程序，有详细的程序说明介绍，适合初学者学习使用。-The program is based on fish swarm algorithm for function optimization procedures, a detailed description of the procedures introduced, suitable for beginners to learn to use.
Date : 2025-12-16 Size : 4kb User : 许阳
[AI-NN-PR] yuqun DL : 0: 鱼群算法函数寻优，很好用，带有数据，推荐！-Fish swarm algorithm for function optimization, easy to use, with data, recommended!
Date : 2025-12-16 Size : 8kb User : 杨晓帆
[AI-NN-PR] Research-on-Some-Novel-Bionic-Opt DL : 0: ：仿生优化算法是模拟自然界中生物行为的随机搜索算法，可以用来解决现实中的许多优化问题。简要介绍了目前比较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理；然后深入分析了这些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior of species．They age mainly applied to solve various optimization problems．This paper proposes the formulation of four recent biology—based algorithms：an t colony algorithm，particle swarm optimization algorithm，artificial immune algorithm，and artificial fish—swarln algorithm
Date : 2025-12-16 Size : 287kb User : zhangyan
[AI-NN-PR] Niche-artificial-fish-swarm-alg DL : 0: 提出了一种基于生境人工鱼群算法的多峰问题优化算法．该算法融合了模拟退火、小生境技术的思想，并加入了变异算子和自动生成合适小生境半径机制-Since it is difficult to find all the optima when artificial fish SWalTn algorithm(AFSA)is used in multimodal optimization．a niche artificial fish swalTn algorithm(NAFSA)based on basic AFSA is proposed．NAFSA combines the niche technique and the simulated annealing method wim AFsA
Date : 2025-12-16 Size : 226kb User : zhangyan
[AI-NN-PR] zhinengTSP DL : 0: TSP的matlab神经网络解法，包括遗传算法、粒子群算法、鱼群算法、模拟退火法程序，程序有注释-The TSP Matlab intelligent solution, including genetic algorithm, particle swarm optimization, fish school algorithm, simulated annealing procedures, procedures comment
Date : 2025-12-16 Size : 15kb User : 唐小米
[AI-NN-PR] intelligentalgorithm DL : 0: 智能算法：神经网络，极限学习机，遗传算法，粒子群算法，蚁群算法，鱼群算法，人工免疫算法-Intelligent algorithms: neural networks, Extreme Learning Machine, genetic algorithm, particle swarm optimization, ant colony algorithm, fish swarm algorithm, artificial immune algorithm
Date : 2025-12-16 Size : 1.43mb User : 杨永亮
[AI-NN-PR] PSOTool DL : 1: 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
Date : 2025-12-16 Size : 15kb User :
[AI-NN-PR] fishswarm DL : 0: 基于MATLAB编写的鱼群算法，类似于粒子群算法。-MATLAB prepared fish-based algorithm, similar to the particle swarm optimization.
Date : 2025-12-16 Size : 1kb User : 徐阳
[AI-NN-PR] AFSA-2015.7 DL : 0: 人工鱼群算法及其应用源码，经测试成功运行。可对照《人工鱼群算法及其应用》学习。-Fish (Swarm Algorithm AFSA, Artificial) is a kind of swarm intelligence bionic energy optimization algorithm, which is proposed by Dr. Li Xiaolei in 2002. The algorithm gives the artificial fish vision, smell, and sports ability, so that it can feel the crowd around the fish, food concentration, and according to their own position and the state of the fish to move to the high food concentration, in order to achieve the problem.
Date : 2025-12-16 Size : 10kb User : wang
[AI-NN-PR] chapter18 DL : 0: 鱼群算法主要利用鱼的三大基本行为：觅食、聚群和追尾行为，采用自上而下的寻优模式从构造个体的底层行为开始，通过鱼群中各个体的局部寻优，达到全局最优值在群体中凸显出来的目的。(The three basic behavior of fish swarm algorithm mainly use the fish: foraging, clusters and rear end behavior, top-down optimization model from the bottom structure of individual behavior, through local optimization of each individual fish, to reach the global optimal value is highlighted in the group to.)
Date : 2025-12-16 Size : 7kb User : 天雨磷寒