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【求助】遗传算法的问题！困扰我很久了！大侠帮忙！
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在遗传算法 gaot 工具箱中，交叉概率和变异概率怎样设置？ 它们的参数分别是,xOverFNs,xOverOps,mutFNs,mutOps等，有人设置的为['arithXover'],[2],nonUnifMutation',[2 gen 3] 前两个是交叉函数和交叉选项，后两个是变异函数和变异选项，从字面理解，好像选用的是算术交叉和非均匀变异。请问这分别代表什么意思呢？从这些设置如何看出这两个概率的具体数值？ 又如当xOverOps设为[2 0;2 3;2 0]是什么意思？ 又如，我想设置交叉概率0.9，变异概率0.05，该怎么做？ 谢谢！！！ gaot工具箱的函数等可以参看http://www.ise.ncsu.edu/mirage/GAToolBox/gaot/gaotindex.html 以下是ga.m函数的说明文件： function [x,endPop,bPop,traceInfo]=ga(bounds,evalFN,evalOps,startPop,opts, termFN,termOps,selectFN,selectOps, xOverFNs,xOverOps,mutFNs,mutOps) Output Arguments: x - the best solution found during the course of the run endPop - the final population bPop - a trace of the best population traceInfo - a matrix of best and means of the ga for each generation Input Arguments: bounds - a matrix of upper and lower bounds on the variables evalFN - the name of the evaluation .m function evalOps - options to pass to the evaluation function ([NULL]) startPop - a matrix of solutions that can be initialized from initialize.m opts - [epsilon prob_ops display] change required to consider two solutions different, prob_ops 0 if you want to apply the genetic operators probabilisticly to each solution, 1 if you are supplying a deterministic number of operator applications and display is 1 to output progress 0 for quiet. ([1e-6 1 0]) termFN - name of the .m termination function (['maxGenTerm']) termOps - options string to be passed to the termination function ([100]). selectFN - name of the .m selection function (['normGeomSelect']) selectOpts - options string to be passed to select after select(pop,#,opts) ([0.08]) xOverFNS - a string containing blank seperated names of Xover.m files (['arithXover heuristicXover simpleXover']) xOverOps - A matrix of options to pass to Xover.m files with the first column being the number of that xOver to perform similiarly for mutation ([2 0;2 3;2 0]) mutFNs - a string containing blank seperated names of mutation.m files (['boundaryMutation multiNonUnifMutation ... nonUnifMutation unifMutation']) mutOps - A matrix of options to pass to Xover.m files with the first column being the number of that xOver to perform similiarly for mutation ([4 0 0;6 100 3;4 100 3;4 0 0]) 希望大侠帮忙解决，不胜感激！这个问题困扰我很久了 |
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