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This program is about economic load despatch.
It has been done by using differential evolution algorithm.
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This program is the best program ever used in optimisation using differential evolution.
Check it u will found it very useful.
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这是一个差分进化算法的C++语言源代码，今年来差分进化算法研究越来越多，其优越性已经为大家所认可，在这里为大家提供一个差分进化算法的C语言源码。-Differential Evolution Algorithm-C++ code
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Differential Evolution for single variable function optimization!
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Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems.
The Opt4J framework currently includes a multi-obje
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基于MATLAB的差分进化算法优化神经网络的源程序-MATLAB based on the differential evolution algorithm for optimization of neural network source code
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利用差分进化算法（Differential Evolution）实现对经典函数foxhole的验证
-The use of differential evolution algorithm (Differential Evolution) to achieve the verification of classical function foxhole
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利用差分进化算法（Differential Evolution）实现对经典函数girewangk的验证-The use of differential evolution algorithm (Differential Evolution) to achieve the verification of classical function girewangk
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差异演化算法的MATLAB程序，程序说明非常详尽，AI研究者必备-Differential evolution algorithm,
Matlab
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利用差分演化优化极限学习机神经网络的matlab源代码，涉及2个matlab程序-evolutionary extreme learning machine, differential evolution
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差分进化算法，比较好的算法啊。可用多目标优化-Differential evolution algorithm, a better algorithm ah. Available multi-objective optimization
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This chapter provides two recent algorithms for evolutionary optimization – well known as particle
swarm optimization (PSO) and differential evolution (DE).
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Applies differential evolution to an input of a 2D chromosome as part of a genetic algorithm
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本程序为标准的微分进化算法，可以提供开发人员进行扩充。-differential evolution
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差分演化算法的优化算法，介绍了一个简单示例，用C语言编写-Sample Program of Differential Evolution
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This program is kind of Evolution algorithm, namely DE (Differential Evolution).
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典型差分进化算法优化程序以及仿真，各策略比较-Differential evolution algorithm for the most used mutation strategies.
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微分进化(DE)是比较新的基于群体的随机优化，它的变异算子是由种群中任意选取的多对向量的差值得到的-Differential Evolution (DE) is a relatively new groups based stochastic optimization, its mutation operator arbitrarily selected from the population of the vector difference
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两目标函数差分进化算法带罚函数算例，罚函数写在目标函数包括交叉、竞争、选择等-Differential evolution algorithm
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通过应用差分进化算法求解一个例子，简单的展示了差分进化算法的使用。-Through the application of differential evolution algorithm for solving an example shows the simple use of the differential evolution algorithm.
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