进化算法

基于多Agent和进化算法的作业线调度研究

Crane Scheduling Research Based on Multi-Agent and Evolutionary Algorithms

基于DNA进化算法的FlowShop生产调度问题

Flow Shop Scheduling Problems Based on DNA Evolutionary Algorithms

协同进化算法模型在本文进行扩展，应用到Web文本挖掘。

The co-evolutionary model is the one that is expanded to Web text mining .

将模糊C均值方法与进化算法相结合，提出了一种新的进化神经网络分类模型。

A new evolutionary neural network model combining the fuzzy C-mean and the evolutionary algorithm is presented .

提出一种用于混合H2/H∞优化控制的多目标进化算法。

A kind of multiobjective evolutionary algorithm is presented for mixed H_2 / H_ ∞ optimal control .

基于DNA的进化算法及其在设计TS模糊控制器中的应用

A New DNA-based Evolutionary Algorithm and Its Application to TS Fuzzy Controller Designed

量子进化算法及其在QoS组播路由和网络入侵检测中的应用

Quantum Evolutionary Algorithm and Its Application on QoS Multicast Routing and Network Intrusion Detection

基于进化算法的超宽带TEM喇叭天线阵列优化研究

Study on Ultra Wide Band TEM Horn Antenna Array Optimization Based on Evolutionary Algorithm

基于ACS进化算法的控制规则最优型模糊PID控制器设计

Design of Fuzzy PID Controller with Optimal Control Rules Using ACS Evolutionary Algorithm

将差分进化算法（DE）应用于六杆机构综合。

This paper presents a new method & differential evolution algorithms ( DE ) for the synthesis of six-bar linkages .

一种基于决策图贝叶斯网络的强度Pareto进化算法

An Improving Strength Pareto Evolutionary Algorithm Based on Bayesian Network with Decision Graphs

本章重点介绍了最早由Farmer提出的微分方程，基于基因库的模型和协同进化算法模型。

Farmer 's differential equation model , the model based on genes libraries and the co-evolutionary model are mainly discussed in this chapter .

建立基于免疫进化算法的投影寻踪聚类分析模型，并用MATLAB软件进行编程；

Based on the Projection Pursuit model which is programmed by MATLAB , 20 cities in Zhejiang Province have been taken as examples in the article .

实例表明通过该进化算法求得Pareto最优解集具有很高的效率。

A lot of tests show Pareto set can be obtained through using this evolutionary algorithm efficiently .

基于复合进化算法和Navier-Stokes方程求解技术的透平叶栅气动优化设计

Optimized Aerodynamic Design of Turbine Cascades Based on Composite Evolutionary Algorithms and Navier-Stokes Equation Solution Techniques

为了解决多目标进化算法中适应值指派（fitnessassignment）的耗时问题，提出了一种新颖的适应值指派方法&占优树。

To solve the time-consuming problem of the fitness assignment in the multi-objective evolutionary algorithm , this paper proposes a novel fitness assignment & dominating tree .

蚁群算法（AntColonyAlgorithm，简称ACA）是最近几年才提出来的一种新型的模拟进化算法。

Ant colony ( ant colony algorithm , referred to as ACA ) is raised only in recent years a new type of simulated evolutionary algorithm .

根据生物免疫系统特性，提出了一种基于免疫进化算法的PID控制器参数自整定方法。

In accordance with biological immune-system characteristics the authors have come up with a method of self-tuning PID controller parameters on the basis of an immune evolutionary algorithm .

将智能信号处理技术中的进化算法和神经网络技术相结合，得到了基于进化算法的RBF网络，并将其应用于多用户检测之中。

A evolutionary RBF network is formed through combining the evolutionary algorithm and Neural Networks together , and is applied in multiuser detection .

在对调度方法进行深入分析研究的基础上，开发了基于进化算法的FMS调度方法。

FMS scheduler algorithm based on evolution algorithm ( EA ) was developed by intensively analyzing and researching scheduling method in this paper .

传统优化技术一般每次只能得到Pareto解集中的一个，而用进化算法求解，可以得到更多的Pareto非劣解。

Traditional optimization techniques can only find a Pareto solution , but with the evolutionary algorithm can find out more Pareto non-inferior solutions .

本文利用进化算法调用BP网络训练结果进行结构设计参数优化，并开发了混凝土泵车臂架优化设计软件。

This text is it evolve algorithm transfer BP network train result carry on structure design parameter optimized to utilize , and has developed the concrete pump train arm shelf optimization design software .

与传统方法相比，差分进化算法求得的逼近多项式精度高、阶数小，设计出的反正切函数实时性远优于C库函数。

Compared with traditional methods , the approximating polynomial calculated by DE is of high accuracy and low order , and the real-time behavior of the arc tangent function designed by DE is much better than C library function .

耦合并行多目标差分进化算法、三次B样条曲面造型方法和CFD求解技术，提出了新的轴流式叶轮机械叶栅三维多目标气动优化设计方法。

A new parallel multi-objective aerodynamic optimization method , combined with the parallel MDE , surface modeling method and CFD technique , is developed for multi-objective optimization design of the 3D axial turbomachinery cascades .

第3章将差异进化算法（DE）首次用于求解无功优化问题，研究了其寻优机理和参数设置的问题，并通过与其它进化算法和粒子群算法的比较分析了它的性能。

The mechanism and parameter setting of DE are first analyzed . Performance of DE on RPO problems is then studied with comparison to other EAs and the particle swarm optimization algorithm .

本文将量子进化算法用于RBF网络（径向基函数网络）的优化当中，并通过仿真验证了算法的有效性。

Quantum Evolutionary is introduced into the optimization of RBF network ( Radial Basis Function Network ) in this paper , simulation results show the effectiveness of the algorithm .

提出了基于优选优生进化算法（Select-bestandprepotencyevolutionalgorithm，SPEA）的常减压装置模拟方法。

A novel simulation method of atmospheric-vacuum distillation unit based on select-best and prepotency evolution algorithm ( SPEA ) was proposed .

另外，进化算法受Pareto前沿面的形状和连续性的影响较小，可以很容易地处理不连续或凹的Pareto前沿面。

Additionally , evolutionary algorithms are less susceptible to the shape or continuity of the Pareto front ( e.g. , they can easily deal with discontinuous or concave Pareto fronts ) .

而现今流行的多目标进化算法中大多是基于Pareto支配关系，使用各种Pareto评级方式来改进每一代的种群个体，使其最终收敛于Pareto前沿。

The latest popular MOEAs are mostly based on Pareto dominance relation-ship , use various Pareto-ranking methods to improve individuals in every generation , finally make them be convergent to Pareto front .

基于差分进化算法，提出一种在定点DSP汇编层快速实现高精度反正切函数的方法，并对该方法在确定精度范围内的正确性和实时性进行了测试。

Based on differential evolution ( DE ) algorithm , a method of fast implementation of the arc tangent function with high accuracy using assembly in fixed-point DSP is proposed . The validity and real-time behavior of this method is tested in a large scale .