随后提出了采用人工鱼群算法进行参数整定的方法。
Then, the parameter tuning method via artificial fish school algorithm (AFSA) is proposed.
实验结果证明，改进的人工鱼群算法具有较好的收敛性。
The improved artificial fish-swarm algorithm has better convergence which showed in the experimental results.
人工鱼群算法(AFSA)是一种新型的群智能随机全局优化技术。
Artificial fish swarm algorithm (AFSA) is a stochastic global optimization technique proposed lately.
激光波前整形；二元光学元件；人工鱼群算法；光学设计；zemax。
Optical Beam Shaping; Binary Optical Elements; Artificial Fish-swarm Algorithm; Optical Design; ZEMAX.
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 optimization by artificial fish swarm, an artificial fish swarm algorithm (AFSA) suitable to transmission network planning is proposed.
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。
After analyzing the disadvantages of artificial fish school algorithm solving combinational optimization problems, an improved artificial fish school algorithm is put forward.
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。
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.
算法测试表明：改进后的人工鱼群算法提高了收敛速度，增强了全局搜索能力。
Algorithm tests show that this algorithm can improve the speed of convergence efficiently and is good at global searching in solution space.
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。
By bringing the thought of swarm intelligence into particle filtering, a novel particle filter based on the artificial fish school algorithm is 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.
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.
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 swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
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。
This paper proposed a novel hybrid algorithm for clustering analysis based on artificial fish-school algorithm and K-means.
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 chaotic artificial fish-swarm algorithm is presented combining the artificial fish-swarm algorithm with water resources optimization.
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 solving the traveling salesman problems, artificial fish swarm algorithm takes a significant advantage in convergence speed and the high precision is also guaranteed.
如何利用人工鱼群算法的群智能特性来克服人口迁移算法中人口流动的随机性带来的问题是本文工作的重点。
How to use the swarm intelligence of AFSA to conquer problems caused by the randomness of population's movement in PMA is the key point of this thesis.
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。
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.
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。
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.
但是作为一种新的群智能算法，人工鱼群算法有自身的不足，如算法的复杂度高、算法后期的收敛速度慢和收敛精度低等。
As a swarm intelligence algorithm, AFSA has its weakness, such as high complexity, low optimizing precision and low convergence speed in the later period of the optimization.
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。
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.
车间作业调度问题是一类带有约束的典型的组合优化问题，目前采用人工鱼群算法解决车间作业调度问题没有检索到参考文献。
Job shop scheduling problem is one of the typical combinatorial optimization problems with constraints. To get its encoding has always been one of the main and difficult points of the problem.
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；
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.
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。
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.
为了克服这些缺点，本文对该算法进行了改进，得到两种自适应人工鱼群算法（AAFSA_FP和AAFSA_SP），并首次用其构建了新的多用户检测器。
To overcome these problems, two improved AFSA named AAFSA_FP and AAFSA_SP were proposed based on idea of adaptive. Then the new algorithms are applied to solve the multiuser detection problems.
为了克服这些缺点，本文对该算法进行了改进，得到两种自适应人工鱼群算法（AAFSA_FP和AAFSA_SP），并首次用其构建了新的多用户检测器。
To overcome these problems, two improved AFSA named AAFSA_FP and AAFSA_SP were proposed based on idea of adaptive. Then the new algorithms are applied to solve the multiuser detection problems.
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