Genetic algorithm (GA) is a search algorithm for solving optimization in computational mathematics. It is a kind of evolutionary algorithm. Evolutionary algorithms were originally developed by drawing on some phenomena in evolutionary biology, including inheritance, mutation, natural selection, and hybridization. The genetic algorithm is usually implemented as a computer simulation. For an optimization problem, a number of candidate solutions (known as individuals) are expressed in an abstract representation (called chromosomes) to a better solution. Traditionally, binary representations (i.e., strings of 0 and 1) are used, but other representations can be used. Evolution

模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\cro.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\ft.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\ga.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\init.mat
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\main.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\mut.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\n2to10.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\objf.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\pro.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序\sel.m
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集\简单函数优化的遗传算法程序
模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集

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