Search - Fish swarm optimization

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[matlab] improved-AFSA DL : 0: 基于混沌迭代式的改进鱼群算法用于对非线性函数寻优-an improved Artificial Fish-swarm Algorithm on optimization for unlinear function
Date : 2025-12-16 Size : 1kb User : Zh.Chen
[matlab] psovsafsa- DL : 1: 一个完整Matlab程序，实现了粒子群算法与人工鱼群算法的比较，体现了两种算法各自的优缺点-A complete Matlab program to achieve a particle swarm optimization and artificial fish school algorithm, two algorithms reflects the advantages and disadvantages of each
Date : 2025-12-16 Size : 2kb User : 杨莉弘
[matlab] fisher DL : 1: 人工鱼群算法，在一片水域中,鱼往往能自行或尾随其他鱼找到营养物质多的地方,因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方，人工鱼群算法就是根据这一特点,通过构造人工鱼来模仿鱼群的觅食!聚群及追尾行为,从而实现寻优，以下是鱼的几种典型行为:(1)觅食行为:一般情况下鱼在水中随机地自由游动,当发现食物时,则会向食物逐渐增多的方向快速游去。(2)聚群行为:鱼在游动过程中为了保证自身的生存和躲避危害会自然地聚集成群，鱼聚群时所遵守的规则有三条:分隔规则:尽量避免与临近伙伴过于拥挤对准规则:尽量与临近伙伴的平均方向一致内聚规则:尽量朝临近伙伴的中心移动。(3)追尾行为:当鱼群中的一条或几条鱼发现食物时,其临近的伙伴会尾随其快速到达食物点。特点：1)具有较快的收敛速度,可以用于解决有实时性要求的问题 2)对于一些精度要求不高的场合,可以用它快速的得到一个可行解 3)不需要问题的严格机理模型,甚至不需要问题的精确描述,这使得它的应用范围得以延伸.停止条件1) 判断连续多次所得的均方差小于语允许的误差2）判断某个区域的人工鱼群的数目达到某个比率3）联系多次所获取的值均不能超过已寻找的极值。 -Artificial fish swarm algorithm, in the midst of the waters, the fish tend to own or trailing other fish to find places with more nutrients and thus the largest number of fish survival in general is a place where most of the nutrients in the waters, artificial fish swarm algorithm is based on thisa characteristics, by constructing artificial fish to mimic fish foraging clusters and rear-end behavior, in order to achieve optimization, several typical behavior of the fish: (1) foraging behavior: the general case of fish in the water at randomthe free-swimming, swimming quickly when food is found, then the food is gradually increasing in the direction. (2) cluster behavior: the fish swimming in the process of naturally clustered, and abide by the rules when the fish cluster there are three: separate rule: try to avoid overcrowding with neighboring partners in order to ensure their own survival and to avoid harm alignment rules: as far as possible consistent with the mean direction of the
Date : 2025-12-16 Size : 77kb User : 张静
[matlab] YQSF DL : 0: 鱼群算法函数寻优，以求解在约束条件下的极值。给出两个实例-Artificial fish swarm algorithm function optimization, in order to solve the constrained extreme value.Two examples are given
Date : 2025-12-16 Size : 15kb User : 文东杰
[matlab] PSO DL : 0: 粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、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 algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.
Date : 2025-12-16 Size : 1kb User : ycg
[matlab] code3 DL : 0: Cockroach Swarm Optimization a new bionic algorithm, entitled Cockroach Swarm Optimization (CSO), that is inspired by the social behavior of cockroaches. We construct some models by imitating the foraging behaviors of cockroach, and describe the steps of CSO. Simulation results illustrate that CSO has stronger convergence performance and highly-accuracy optimization results compares with Particle Swarm Optimization (PSO), Chaotic Particle Swarm Optimization (CPSO) and Artificial Fish-swarm Algorithm (AFSA).
Date : 2025-12-16 Size : 2kb User : sina valizade
[matlab] AFSA_fx DL : 0: AFSA_fx是用人工鱼群算法（artificial fish swarm algorithm）解决一元函数寻优问题。文件打开后运行AFSA_fx.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。-AFSA_fx is (artificial fish swarm algorithm) function is used to solve a dollar AFSA optimization problem. Run AFSA_fx.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.
Date : 2025-12-16 Size : 37kb User : Rareson
[matlab] AFSA_fxy DL : 0: AFSA_fxy是用人工鱼群算法（artificial fish swarm algorithm）解决二元函数寻优问题。文件打开后运行AFSA_fxy.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。-AFSA_fxy is (artificial fish swarm algorithm) to solve the optimization problem with a binary function AFSA. Run AFSA_fxy.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.
Date : 2025-12-16 Size : 30kb User : Rareson
[matlab] SwarmFish1002CMOS DL : 0: another good matlab code for fish swarm optimization
Date : 2025-12-16 Size : 2.52mb User : mji
[matlab] FSOUCP DL : 0: 对人工鱼群算法的一种实现，用于无约束连续函数的优化求解。-Fish Swarm Optimization for Unconstrained Continuous Problem
Date : 2025-12-16 Size : 2kb User : 陈新文
[matlab] guangpan3 DL : 0: 《MATLAB智能算法超级学习手册》随书光盘，《MATLAB智能算法超级学习手册》的内容主要包括马尔科夫链模型、层次分析法、粒子群算法、遗传算法、蚁群算法、鱼群算法、PID控制算法、神经网络算法等。智能算法对于很多初学者而言，有一定的困难，很难理解程序流程、数据的运算过程，因此给实际应用带来困难。本书将围绕智能算法展开综述，深入浅出地介绍和分析各类智能算法，用智能算法解决工程应用问题。-Content " MATLAB super intelligent algorithm to study the manual" CD with the book, " MATLAB super intelligent algorithm to learn Manual" includes Markov chain model, AHP, particle swarm optimization, genetic algorithm, ant colony algorithm, fish algorithm, PID algorithms, neural network algorithms and other controls. Intelligent Algorithm For many beginners, there are certain difficulties, it is difficult to understand the program flow, data calculation process, and therefore difficult to practice. The book will focus on intelligent algorithms were summarized, easy to introduce and analyze various types of smart algorithm, using intelligent algorithms to solve engineering problems.
Date : 2025-12-16 Size : 440kb User : zhang
[matlab] code DL : 0: code鱼群算法在函数优化中的应用,包括一元函数二元函数,动态图像-fish swarm algorithm code in function optimization applications, including one yuan function binary function, dynamic image
Date : 2025-12-16 Size : 27kb User : 沈佳
[matlab] yq DL : 0: 基于鱼群算法的函数优化分析，很全面, 有注释 -Function fish swarm algorithm optimization analysis
Date : 2025-12-16 Size : 5kb User : 姚志凤
[matlab] PSO DL : 0: Particle swarm optimization (PSO) is a derivative-free global optimum solver. It is inspired by the surprisingly organized behaviour of large groups of simple animals, such as flocks of birds, schools of fish, or swarms of locusts. The individual creatures, or "particles", in this algorithm are primitive, knowing only four simple things: 1 & 2) their own current location in the search space and fitness value, 3) their previous personal best location, and 4) the overall best location found by all the particles in the "swarm". There are no gradients or Hessians to calculate
Date : 2025-12-16 Size : 35kb User : mahmood
[matlab] example1 DL : 0: 鱼群算法在多目标寻优问题上的应用，注释详细，代码初学者必备。(Fish swarm algorithm in multi-objective optimization problem, the application of detailed notes, code beginners.)
Date : 2025-12-16 Size : 3kb User : 赵小乙
[matlab] 基于鱼群算法的函数寻优算法 DL : 0: 基于鱼群算法的函数寻优算法的matlab代码示例。(Function optimization algorithm based on fish swarm algorithm)
Date : 2025-12-16 Size : 8kb User : qiu@qiu
[matlab] 人工鱼群算法的仿真程序-matlab DL : 0: 人工鱼群算法优化的实例，实测可用，真实有效果(An example of artificial fish swarm optimization,It is practical and effective.)
Date : 2025-12-16 Size : 14kb User : 人类雷人
[matlab] AFSA DL : 1: 人工鱼群算法的matlab代码实现，优化函数(AFSA,Matlab code implementation and optimization function of artificial fish swarm algorithm)
Date : 2025-12-16 Size : 3kb User : gjxgu