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Solution to Economic Dispatch by Artificial Bee colony Algorithm
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implementation of simple Evolutionary Programming to find minimum value from given function.
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This a general Evolutionary programming program in MAT LAB. In the place of objective objective function, type in your objective function. -This is a general Evolutionary programming program in MAT LAB. In the place of objective objective function, t
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SPEA2，是学习多目标进化算法的经典作品。其中包含作者自己编程的内容。还包含经典SPEA文献。-SPEA2, learning the classic works of the multi-objective evolutionary algorithm. Which contains the contents of their own programming. Also contains classic SPEA literature.
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an evolutionary programming for solving unit commitment problems
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简单的进化规划算法（EP），用于理解该类算法的思想。-Simple evolutionary programming algorithm (EP)
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evolutionary programming
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进化算法粒子群，用于算法研究，编程，便于初学者学习-Evolutionary particle swarm algorithm for algorithm research, programming, easy for beginners to learn
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进化规划算法，实现功能是求一个函数的最大值。-Evolutionary programming algorithm, function is a function of the maximum demand.
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同样是进化算法中的进化规划算法，实现的功能也是需找一个函数的最优值。-The same evolutionary algorithm evolutionary programming algorithm, the function is also required to find the optimal value of a function.
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MetaEvolutionProgramming，进化规划例程，采用五分之一竞争法则，而不是进化策略的Q竞争法则，用来解决二项式的最优解问题-Evolutionary programming routines, using fifth competition rules,to solve the optimal solution binomial， rather than evolutionary strategy using Q competition law,
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遗传算法(genetic algorithm，GA)是一种近年来发展起来的基于自然选择规律的进化算法，本程序利用改进型遗传算法对电力系统进行无功优化，与遗传算法进行比较，通过实际算例分析及MATLAB编程结果运行，成功解决了无功优化问题，并验证了改进型遗传算法的优越性。(The genetic algorithm (genetic algorithm GA) is an evolutionary algorithm based on natural selection rules develop
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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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利用遗传程序设计建立电力系统的负荷模型，无需像传统方法一样预先确定具体的模型结构，它能根据输入输出数据直接演化出变量间的函数关系，并且能够一次性的同时确定函数的结构形式和参数，使得模型的生成过程趋于智能化、自动化，解决了负荷建模工作中长期困扰的模型辨识问题。(Genetic Programming(GP) is a new evolutionary algorithm based on genetic algorithm,which has self-adaptive,self-organizi
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