How to apply a random Crossover (Arithmetic/Scattered/Two-point) in Genetic Algorithm using auto-generated file from Optimization Toolbox ?
4 views (last 30 days)
Show older comments
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
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
Accepted Answer
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
0 Comments
More Answers (1)
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.
See Also
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!