# How to apply a random Crossover (Arithmeti​c/Scattere​d/Two-poin​t) in Genetic Algorithm using auto-generated file from Optimization Toolbox ?

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Ankur Shah on 10 Aug 2020
Answered: Walter Roberson on 25 Jan 2021
I have prepared a code in MATLAB with optimization toolbox which seems to be giving fair results for different optimization functions but at present, accuracy is highly dependent on the type of crossover selected.
To take advantage of different crossover and to improve efficiency, i want to apply a random crossover after every iteration i.e. any of Arithmetic, Scattered or Two-point. How can I do that ?
Walter Roberson on 11 Aug 2020
options = optimoptions(options,'CrossoverFcn', @MyCustomCrossover)
function varargout = MyCustomCrossover(varargin)
crossfcns = {@crossoverarithmetic, @crossoverheuristic, @crossoveritnermediate, @crossoverscattered, @crossoversinglepoint, @crossovertwopoint};
chosen = crossfcns{randi(length(crossfcns))} ;
[varargout{:}] = chosen(varargin{:}) ;
end

Walter Roberson on 25 Jan 2021
options = optimoptions(options,'CrossoverFcn', @MyCustomCrossover)
function varargout = MyCustomCrossover(varargin)
crossfcns = {@crossoverarithmetic, @crossoverheuristic, @crossoveritnermediate, @crossoverscattered, @crossoversinglepoint, @crossovertwopoint};
chosen = crossfcns{randi(length(crossfcns))} ;
[varargout{:}] = chosen(varargin{:}) ;
end

Sulaymon Eshkabilov on 11 Aug 2020
See the screen shot given in the attachement. You should select from the drop-down options whichever crossover function suits for your task.
Ankur Shah on 25 Jan 2021
Hi, Yes the code worked perfectly. I was trying to to tag your answer as Accepted but couldn't do. Apologies for confusion... Could you have a look at this question https://in.mathworks.com/matlabcentral/answers/725727-how-to-find-function-and-variable-value-at-each-iteration-for-genetic-algorithm-with-parallel-comput?s_tid=prof_contriblnk