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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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 ?
  7 Comments
Walter Roberson
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

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Accepted Answer

Walter Roberson
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

More Answers (1)

Sulaymon Eshkabilov
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.
  3 Comments
Ankur Shah
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

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