Search - Fish swarm optimization

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[Other] Swarm_Intelligent_Systems DL : 0: 非常好的优化算法的书，详细介绍了蚁群算法和粒子群算法以及相关的matlab工具箱，讲了理论和应用给出了工具箱的下载地址。 Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. -Optimization algorithm very good book, detailing the ant colony algorithm and particle swarm optimization and related matlab toolbox, talked about the theory and application are given toolbox download address. Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
Date : 2025-12-16 Size : 5.7mb User : dh
[Other] afsa2 DL : 0: 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.
Date : 2025-12-16 Size : 25kb User : duweijie
[Other] 111 DL : 0: ：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.
Date : 2025-12-16 Size : 180kb User : duweijie
[Other] Swarm-intelligence-o DL : 0: 　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。 - 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.
Date : 2025-12-16 Size : 387kb User : chenchen