By bringing the thought of swarm intelligence into particle filtering, a novel particle filter based on the artificial fish school algorithm is proposed.
将集群智能思想引入粒子滤波,提出一种新颖的基于人工鱼群算法的粒子滤波器。
Based on the optimization by artificial fish swarm, an artificial fish swarm algorithm (AFSA) suitable to transmission network planning is proposed.
以人工鱼群寻优思想为基础,提出了适用于输电网网架规划的人工鱼群算法。
Artificial fish swarm algorithm (AFSA) is a novel optimization algorithm proposed lately. A new method based on this optimization is proposed to design the IIR digital filters.
本文尝试将一种新的优化算法一人工鱼群算法(AFSA)用于IIR数字滤波器设计,建立了相应的优化模型,给出了简化的人工鱼群算法及其实现步骤。
The swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
目前提出的群智能优化算法有蚁群优化算法、粒子群优化算法、人工鱼群算法、人工蜂群算法。
The chaotic artificial fish-swarm algorithm is presented combining the artificial fish-swarm algorithm with water resources optimization.
对人工鱼群算法进行了改进,结合灌区优化配水问题,建立了灌区优化配水的混沌人工鱼群算法模型。
In solving the traveling salesman problems, artificial fish swarm algorithm takes a significant advantage in convergence speed and the high precision is also guaranteed.
通过人工鱼群算法解决旅行商问题,证明人工鱼群算法在收敛时间上是占很大优势,收敛精度也得到保证。
In this thesis, a research has been made on the reactive power distribution network optimization based on the improved artificial fish swarm algorithm, and achieved satisfactory results.
论文研究了基于改进的人工鱼群算法的配电网的无功优化,取得了满意的效果。
The improved artificial fish-swarm algorithm has better convergence which showed in the experimental results.
实验结果证明,改进的人工鱼群算法具有较好的收敛性。
Artificial fish swarm algorithm (AFSA) is a novel optimization algorithm. A new method based on this optimization is proposed to design the IIR digital filters.
将人工鱼群算法(AFSA)用于IIR数字滤波器设计,建立了相应的优化模型,给出了简化的人工鱼群算法及其实现步骤。
After analyzing the low local search ability of Artificial Fish Swarm Algorithm (AFSA), an improved AFSA based on simplex method was proposed.
针对鱼群算法在局域搜索能力差的问题,提出一种基于单纯形法的改进型人工鱼群算法。
Artificial fish-swarm algorithm have well capability of expansion, transformation and integration due to the fish-swarm model.
人工鱼群算法由于采用了鱼群模式,使得在扩展性、改造性和融合性等方面具备较好的能力。
Artificial fish-swarm algorithm have well capability of expansion, transformation and integration due to the fish-swarm model.
人工鱼群算法由于采用了鱼群模式,使得在扩展性、改造性和融合性等方面具备较好的能力。
应用推荐