Then, the parameter tuning method via artificial fish school algorithm (AFSA) is proposed.
随后提出了采用人工鱼群算法进行参数整定的方法。
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 (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。
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。
Finally, based on the artificial fish system, the complicated behavior of fish school and its reason is studied.
最后，基于人工鱼系统，研究了鱼群复杂行为的产生及其原因。
This paper proposed a novel hybrid algorithm for clustering analysis based on artificial fish-school algorithm and K-means.
结合人工鱼群算法的全局寻优优点提出了一种基于人工鱼群算法的K -平均混合聚类分析算法。
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。
The artificial fish-reef is a kind of means changing ecological environment, increasing and breeding aquatic resources near sea.
人工鱼礁是改变近海生态环境和增养殖水产资源的一种手段。
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。
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。
Perceptive area and visibility of artificial fish are studied, and perception system is designed using the technologies of pattern recognition.
文中还研究了人工鱼的感知范围和遮挡等问题，利用模式识别等技术设计了人工鱼的感知系统。
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。
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。
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。
Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA), this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish.
针对基本人工鱼群算法存在的不足，根据高斯变异和历史最优鱼个体状态，提出自适应高斯变异人工鱼群算法。
In the remainder of the article, I will review the artificial fish model that have made possible our artificial life cinematography approach to computer animation.
在这篇文章的最后，我还会总结正是由于人工鱼的模型，使得我们的人工生命摄影能够与计算机动画紧密相连。
Basing on the model of the artificial fish above, the thesis provides the design programs of simulating animation of the intelligent fish under the virtual environment.
基于上述理论基础，本文提出了虚拟环境下智能鱼行为仿真动画的总体设计方案。
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 concept and characteristics of cognitive modeling are reviewed, and primary content and technical way of research on cognitive modeling approach for artificial fish...
该文介绍了认知建模的概念、特点，给出人工鱼的认知建模方法研究的主要内容和模型结构。
After analyzing the disadvantages of artificial fish school algorithm solving combinational optimization problems, an improved artificial fish school algorithm is put forward.
分析了人工鱼群算法求解组合优化问题的不足，提出一种改进人工鱼群算法。
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。
Cognitive models based on self-reproduction are presented and built to improve the cognition of artificial fish, and high-level motion controls based on animal logic are implemented.
提出并建立了面向自繁衍的人工鱼的认知模型，提高人工鱼的认知能力，实现基于“动物逻辑”的人工鱼高级行为控制。
Methodology of ANN is introduced in the "artificial fish" system to control behaviors of artificial animals, which provides artificial animals with more independence and intelligence.
将人工神经网络方法引入到“人工鱼”系统中，控制人工动物的行为，使人工动物成为更加自主的和智能的角色。
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。
In the result, the artificial fish school algorithm based on decomposition and coordination method shows its advantages on computing speed, convergence and solving dimension difficulty.
结果表明基于分解协调的人工鱼群算法收敛性好，提高了计算速率，较好的解决了作物优化配水大系统中常见的变量维数高、约束方程多等问题；
Meanwhile, the thesis USES the PSO to modify the movement patterns of the intelligent fish which can improve the natural characteristics of the artificial fish and intelligent behavior.
同时通过微粒群算法，解决了智能鱼群体运动模式单一的问题。更合理、有效地模拟了自然鱼的生命特征和智能行为。
This paper focuses on the risk assessment of a new type of concrete artificial fish-reefs in Shengsi when typhoon waves with the lowest water level and maximum tidal current speed occur.
对台风暴潮影响下的嵊泗海域人工鱼礁工程做了风险评估，考虑了台风暴潮中出现的大浪和风暴潮减水对鱼礁联合作用的危害。
This paper focuses on the risk assessment of a new type of concrete artificial fish-reefs in Shengsi when typhoon waves with the lowest water level and maximum tidal current speed occur.
对台风暴潮影响下的嵊泗海域人工鱼礁工程做了风险评估，考虑了台风暴潮中出现的大浪和风暴潮减水对鱼礁联合作用的危害。
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