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1)  Improved Artificial Fish-swarm Algorithm
改进人工鱼群算法
1.
(2) Signal sparse decomposition taking advantages of algorithm of improved artificial fish-swarm algorithm combined with genetic algorithm.
本文以一维信号为主要研究对象,以改善信号稀疏分解速度为主要研究目的,重点研究了禁忌遗传算法,人工鱼群算法及其改进算法,改进人工鱼群算法和遗传算法联合算法在稀疏分解上的应用。
2)  improved artificial fish swarm algorithm
改进型人工鱼群算法
1.
After analyzing disadvantages of AFSA,this paper presents an improved artificial fish swarm algorithm which improved the global search ability of the algorithm,and can be used for optimizing complex nonlinear function.
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。
3)  improved artificial fish swarm algorithm(IAFSA)
改进的人工鱼群算法
4)  artificial fish swarm algorithm
人工鱼群算法
1.
Application of artificial fish swarm algorithm to assessment of lake eutrophication;
人工鱼群算法在湖泊富营养化综合评价中的应用
2.
Application of artificial fish swarm algorithm to power distribution system reconfiguration;
人工鱼群算法在配电网络重构中的应用研究
3.
Inverse research for gravity dam parameters based on chaos artificial fish swarm algorithm;
混沌人工鱼群算法在重力坝材料参数反演中的应用
5)  artificial fish-swarm algorithm
人工鱼群算法
1.
Short-term load forecasting method based on artificial fish-swarm algorithm of neural network;
基于人工鱼群算法神经网络的电力系统短期负荷预测
2.
Reactive power optimization of power system based on artificial fish-swarm algorithm;
基于人工鱼群算法的电力系统无功优化
3.
Chaotic artificial fish-swarm algorithm and its application in water use optimization in irrigated areas;
混沌人工鱼群算法及其在灌区优化配水中的应用
6)  artificial fish school algorithm
人工鱼群算法
1.
Transmission network planning based on artificial fish school algorithm;
基于人工鱼群算法的输电网络规划
2.
Applications of artificial fish school algorithm in combinatorial optimization problems;
组合优化问题的人工鱼群算法应用
3.
Parameter estimation method based-on artificial fish school algorithm;
基于人工鱼群算法的参数估计方法
补充资料:改进
改变旧有情况,使有所进步:~工作ㄧ操作方法有待~。
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