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微分进化算法，用于解决，复杂的函数优化问题，算法鲁棒性良好(Differential evolution algorithm)
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有关差分进化算法的一个简单算例。简单函数算例流程以及源代码(Differential evolution algorithm)
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hybrid GA/PSO
mopso
DE
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matlab脚本实现了DE_TCR算法-自适应交叉机制的混合差分进化算法，对研究进化算法具有一定帮助。(These matlab scr ipts implement a version of the DE_TCR algorithm which is a Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism.)
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差分进化算法，用于优化计算，根据自己的情况进行编辑(Differential evolution algorithm)
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IEEE 30 BUS SYSTEM Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
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Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
Evolution, EA for
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实现差分进化算法程序，比较简单，希望有所帮助(Differential evolution algorithm program)
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Using Differential Evolution for Improving Distance Measures
of Nominal Values
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差分进化算法，整定分数阶PID控制器参数(Differential evolution algorithm, tune fractional PID controller parameters)
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以优化SVR算法的参数c和g为例，对DE（差分进化）算法MATLAB源码进行了详细中文注解。(Differential Evolution algorithm (DE) is a heuristic random search algorithm based on group differences. This algorithm is proposed by R.S and k.p. rice for solving Chebyshev polynomials. DE algorithm is
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DEPSO, or called DEPS, is an algorithm for (constrained) numerical optimization problem (NOP). DEPSO combines the advantages of Particle Swarm Optimization (PSO) and Differential Evolution (DE). It is incorporated into cooperative group optimization
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差分进化算法(Differential Evolution, DE)是一种基于群体差异的启发式随机搜索算法，该算法是由R.Storn和K.Price为求解Chebyshev多项式而提出的。DE算法也属于智能优化算法，与前面的启发式算法，如ABC，PSO等(DE optimization algorithm)
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AFEM@matlab is a MATLAB package of adaptive finite element methods (AFEMs) for stationary and evolution partial differential equations in two spatial dimensions. It contains robust, efficient, and easy-to-follow codes for the main building blocks of
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Economic environmental dispatch using multi-objective differential evolution
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Shuffled differential evolution for large scale economic dispatch
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shuffled differential evolution for large scale
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几种问题下的多维差分进化算法，包括Chebychev、Eggholder、Michalewicz、Peaks、Rastrigin、Rosenbrock和Zimmermann问题，可以根据不同的需求来改变objfun.m, PlotIt.m,和 Rundeopt.m。(The multidimensional differential evolution algorithm under several problems.)
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差分演化算法，优化神经网络，数值优化，
//直接运行，包括源代码(Differential Evolution global optimization)
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根据邻居搜索改进的自适应差分进化算法，属于进化计算，用来参数优化.(optimization by adaptive differential evolution)
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