人工鱼群算法

但随着深入研究，人工鱼群算法自身的一些不足也渐渐突显出来。

However , with constantly study , some shortcomings of AFSA gradually exposed .

因此本文针对人工鱼群算法的些许不足进行了改进，并进行了仿真研究。

Therefore , the improvement which is aimed at shortcomings and application of AFSA are studied by simulation .

基于人工鱼群算法的BP神经网络速度辨识器

BP Neural Network Speed Identifier Based on Artificial Fish Algorithm

一种基于禁忌人工鱼群算法的智能QoS组播路由算法

Tabu Artificial Fish Swarm Algorithm Based Intelligent QoS Multicast Routing Algorithm

基于蚁群和人工鱼群算法融合的QoS路由算法

QoS Routing Algorithm Based on Combination of Modified Ant Colony Algorithm and Artificial Fish Swarm Algorithm

基于人工鱼群算法的IIR数字滤波器设计

IIR digital filter design based on artificial fish swarm algorithm

基于人工鱼群算法的PSS参数优化

PSS parameter optimization based on artificial fish-swarm algorithm

二维Otsu图像分割的人工鱼群算法

The Two-dimensional Otsu Thresholding Based on Fish-swarm Algorithm

人工鱼群算法（ArtificialFishSwarmAlgorithm，AFSA）是源于对鱼群觅食行为研究而提出的一种新型群体智能优化算法。

Artificial Fish Swarm Algorithm ( AFSA ) is a new kind of swarm intelligent bionic algorithm based on the " looking for food " behaviour of fish swarm .

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 .

本文以自适应遗传算法为基础，将其与人工鱼群算法相结合，提出一种改进的、更加适用于求解Job-Shop调度问题的新算法。

In this paper , it proposes an improved algorithm that is more suitable for Job-Shop scheduling , which is based on the adaptive genetic algorithm and combines with the artificial fish swarm algorithm .

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 .

为了与其他智能优化算法比较，研究了遗传算法、人工鱼群算法在CVRP中的应用。

For the sake of comparing with other intelligent algorithms , Genetic Algorithm and Artificial Fish School Algorithm are studied .

基于混合优化策略的原理，将粒子群优化算法与人工鱼群算法相结合，提出了一种高效的并适应于工程结构优化的改进算法&粒子鱼群混合优化算法（PSAFSA）。

Based on the principle of hybrid optimization , and combine the particle swarm optimizer and artificial fish swarm algorithm , a particle swarm-artificial fish swarm algorithm ( PSAFSA ) is proposed which is efficient and suitable for engineering structure optimization .

改进的人工鱼群算法及其在近似求导中的应用

Improved Artificial Fish-School Algorithm and Its Application for Solving Numerical Derivative

一种新型的智能优化方法-人工鱼群算法

A New Intelligent Optimization Method - Artificial Fish School Algorithm

自适应视野和步长的改进人工鱼群算法

Improved artificial fish swarm algorithm based on adaptive visual and step length

基于人工鱼群算法的单机场地面等待优化策略

Single Airport Ground-holding Problem Optimizing Strategy Based on Artificial Fish School Algorithm

基于人工鱼群算法的高级综合生产计划优化研究

Study on Advanced Aggregate Production Planning Optimization Using Artificial Fish School Algorithm

基于人工鱼群算法的优化分割数值积分算法

Numerical integration with optimized segmentation based on artificial fish-school algorithm

利用人工鱼群算法优化前向神经网络

Optimization of feed-forward neural networks based on artificial fish-swarm algorithm

利用人工鱼群算法求解一类函数的极值

An artificial fish swarm algorithm solving extrema of a kind of functions

基于离散人工鱼群算法的输电网优化规划研究

Transmission Network Planning Based on Discrete Artificial Fish School Algorithm

基于改进人工鱼群算法求解多元非线性方程组

Improved Artificial Fish School Algorithm for Solving Multivariable Nonlinear Equations

基于自适应人工鱼群算法的多用户检测器

Multiuser Detector Based on Adaptive Artificial Fish School Algorithm

基于人工鱼群算法的分类规则发现

Classification rule discovering with artificial fish - swarm algorithm

基于人工鱼群算法岩体可爆性分级的投影寻踪回归方法

Projection Pursuit Regression Method of Rock Blastability Classification Based on Artificial Fish-Swarm Algorithm

使用混合人工鱼群算法求解装箱问题

Solving bin-packing problem by hybrid artificial fish swarm algorithm

人工鱼群算法的非线性约束优化

Nonlinear constrained optimization problems based on artificial fish-swarm algorithm

可靠性优化问题的人工鱼群算法求解

The Reliability Optimization on Artificial Fish Swarm Algorithm