The more we can discover about the mathematical properties of generic swarm processing, the better our understanding will be of both artificial complexity and biological complexity.
我们能够发现的通用群处理过程的数学属性越多，我们对仿生复杂性与生物复杂性的理解就越好。
Swarm intelligence is a hot subject that is researched in the field of the artificial intelligence.
群集智能是近年来人工智能领域研究的一个新的热点课题。
Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
粒子群优化(PSO)算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。
Particle Swarm Optimization (PSO) is such a new artificial life computation method.
粒子群优化(PSO)算法是其中较新的一种人工生命计算方法。
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。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.
这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。
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。
Artificial fish swarm algorithm (AFSA) is a stochastic global optimization technique proposed lately.
人工鱼群算法(AFSA)是一种新型的群智能随机全局优化技术。
Optical Beam Shaping; Binary Optical Elements; Artificial Fish-swarm Algorithm; Optical Design; ZEMAX.
激光波前整形；二元光学元件；人工鱼群算法；光学设计；zemax。
This paper presented particle swarm optimization (PSO) technique to train multi layer artificial neural network for predicting model of diameter errors of boring processes.
采用粒子群算法对镗孔加工尺寸误差人工神经网络预测模型进行优化。
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。
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。
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 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。
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。
The adaptive particle swarm optimization is used to optimize the parameters of SVM so as to avoid artificial arbitrariness and enhance the forecast accuracy.
同时利用粒子群算法优化小波最小二乘支持向量机的参数，避免了人为选择参数的盲目性，从而提高了模型的预测精度。
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。
Artificial bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm.
人工蜂群算法(abc)是一种基于蜜蜂行为的优化算法。
It put forward an improved application of artificial fish swarm algorithm based on real coding.
引入实数编码对鱼群算法进行改进，使之适用于模型的求解运算。
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 (AFSA) is a novel optimizing method. It has a strong robustness and good global astringency, and it is also proved to be insensitive to initial values.
人工鱼群算法(AFSA)是一种新型的寻优策略，它具有鲁棒性强，全局收敛性好，以及对初值的不敏感性等优点。
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。
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。
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