Multi-objective-optimization

这是一个简单的用matlab编写的多目标遗传算法，可以供初学者参考(This is a simple multi-objective genetic algorithm using matlab, you can reference for beginners)

its about generation of ofdm and reception. and also it calculates the ber.

说明：  神经网络在轧钢张力控制中的应用。使用MATLAB编写的程序(very good)

说明：  高尚版本的粒子群算法源代码，用MATLAB编写(High version of Particle Swarm algorithm source code written with MATLAB)

MATLAB下Harris算法的角点检测(Harris corner detection algorithm under MATLAB)

说明：  关于矩阵的乘法之类的课件 总结性强 可以参考(about the matrics in multiply)

MATLAB_Engine andC hybrid programming(MATLAB_Engine andC hybrid programming exeample)

阐述了粒子群算法的基本原理,探讨了在MATLAB环境中实现粒子群算法的编程方法,构建粒子群算法工具箱函数,通过仿真示例验证了该方法的有效性,表明它能够对函数进行全局优化。(Expounded the basic principles of particle swarm optimization to explore particle swarm algorithm in MATLAB programming method to construct the particle swarm optimization toolbox function, an illustrative example to verify the effectiveness of the method, indicating that it can function for global optimization .)

这是一个关于核模糊聚类算法的例子希望有用(This is a fuzzy clustering algorithm on nuclear examples hope that useful)

Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms, and uses only common control parameters such as colony size and maximum cycle number. ABC as an optimization tool, provides a population-based search procedure in which individuals called foods positions are modified by the artificial bees with time and the bee’s aim is to discover the places of food sources with high nectar amount and finally the one with the highest nectar.