Description: 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. Platform: |
Size: 100352 |
Author:馨竹 |
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Description: 摘 要:在分析人工鱼群算法存在不足的基础上,对人工鱼群算法加以改进,提出了一种改进型人工鱼群算
法。该算法提高了全局搜索能力和收敛速度,并用于求解具有变量边界约束的非线性复杂函数最优化问题。
仿真结果表明,改进后的人工鱼群算法具有精度高、搜索速度快等特点,是一种求解复杂函数全局最优化的智
能算法。
-Abstract: In analyzing the deficiencies of artificial fish-swarm algorithm based on improved artificial fish-swarm algorithm, an improved artificial fish-swarm algorithm. The algorithm improve the global search ability and convergence speed, and used to solve the border with variables constrained nonlinear optimization problem of complex functions. The simulation results show that the improved artificial fish-swarm algorithm with high precision, fast search, etc., is a complex function for solving global optimization of the intelligent algorithm. Platform: |
Size: 25600 |
Author:duweijie |
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Description: ：群智能是一种仿生自然界动物昆虫觅食筑巢行为的新兴演化计算技术。目前主要的群智能优化算法有蚁群算法、微粒群算
法和人工鱼群算法。本文介绍了群智能算法的产生、发展和优点，并着力阐述了上述三种典型算法的基本原理，同时概述了各
算法的应用现状，最后提出了算法将来有待研究的内容。-: Swarm Intelligence is a kind of bionic nature nesting animals foraging behavior of insects emerging computing technology evolution. At present, the main group of intelligent optimization algorithms are ant colony algorithm, particle swarm optimization and artificial fish-swarm algorithm. This paper introduces the intelligent algorithm groups the emergence, development and benefits, and focus on the three basic principles of a typical algorithm, the algorithm also provides an overview of the application of the status quo, the end of the algorithm to be the future contents of the study. Platform: |
Size: 184320 |
Author:duweijie |
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Description: 摘 要:在分析人工鱼群算法存在不足的基础上,对人工鱼群算法加以改进,提出了一种改进型人工鱼群算
法。该算法提高了全局搜索能力和收敛速度,并用于求解具有变量边界约束的非线性复杂函数最优化问题。
仿真结果表明,改进后的人工鱼群算法具有精度高、搜索速度快等特点,是一种求解复杂函数全局最优化的智
能算法
-Abstract: In analyzing the deficiencies of artificial fish-swarm algorithm based on improved artificial fish-swarm algorithm, an improved artificial fish-swarm algorithm. The algorithm improve the global search ability and convergence speed, and used to solve the border with variables constrained nonlinear optimization problem of complex functions. The simulation results show that the improved artificial fish-swarm algorithm with high precision, fast search, etc., is a complex function for solving global optimization of the intelligent algorithm Platform: |
Size: 189440 |
Author:duweijie |
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Description: 求最小目標優化的多目標人工魚群算法，自己編的可運行。-Minimum objective optimization for multi-objective artificial fish-swarm algorithm, to run their own series. Platform: |
Size: 3072 |
Author:sunny |
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Description: 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. Platform: |
Size: 1125376 |
Author:赵伟 |
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Description: 人工鱼群算法是一种近年来提出的组合优化问题，该算法在收敛速度方面有明显的优势。并在现实的各个方面都已经开始应用。
-Artificial fish-swarm algorithm is a combinatorial optimization in recent years raised the issue in the convergence speed of the algorithm has an obvious advantage. And in reality, all aspects of the application has begun. Platform: |
Size: 250880 |
Author:张 |
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Description: 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 ant colony algorithm can be used to optimize the PID parameters there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle swarm optimization, artificial fish-swarm algorithm, and so on. Platform: |
Size: 2048 |
Author:张望 |
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Description: 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 Platform: |
Size: 78848 |
Author:张静 |
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Description: 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 Platform: |
Size: 5120 |
Author:hobby |
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Description: 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 Platform: |
Size: 2048 |
Author:何傻子 |
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Description: 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 Platform: |
Size: 15360 |
Author:文东杰 |
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Description: 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 Platform: |
Size: 231424 |
Author:zhangyan |
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Description: 讨论四种群体智能优化算法———蚁群算法、微粒群算法、人工鱼群算法和混合蛙跳算法 ,对其算法的
原理、发展及应用进行了综述。提出了群体智能优化算法统一框架模式 ,并对群体智能优化算法进一步发展进行
了讨论。
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Discuss four swarm intelligence optimization algorithm--- ant colony algorithm, particle swarm optimization, artificial fish swarm algorithm and shuffled frog leaping algorithm, their algorithm theory, development and application are reviewed. Swarm intelligence optimization algorithm proposed unified framework model, and the further development of swarm intelligence optimization algorithms are discussed.
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Size: 396288 |
Author:chenchen |
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Description: 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.) Platform: |
Size: 14336 |
Author:人类雷人 |
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Search - artificial fish swarm optimization