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Genetic Algorithm - Vectorized Mode - Reg

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Kallam Haranadha Reddy
Kallam Haranadha Reddy el 29 de Dic. de 2018
Editada: Stephen23 el 30 de Dic. de 2018
'Position' is a (68,6) array of doubles representing the population of Genetic algorithm. 'classGA1 ' is a (68,1) cell array of the type of population class ( inventory class A,B or C) . 'ClassDM1 ' is a (68,1) cell array of the inventory class(A,B, or C)given by the decision maker (materials manager).
[Fitness] = InvClassifyGAFitnessFunc(Position,classGA1,ClassDM1);
is the Fitness is a (68,1) double array determining the fitness of population.
I want to operate the GA in vectorized mode.
[Fitness] = @(Position)InvClassifyGAFitnessFunc(Position(':',1:6),classGA1{':',1},ClassDM1{':',1});
% vff = @(Position) InvClassifyGAFitnessFunc(Position(':',1:6), classGA1{':'},CDM1{':'});
A=[0,0,0,0,-1,1];
b=[0];
Aeq=[1,1,1,1,0,0];
beq=[1];
lb=[0,0,0,0,0,0];
ub=[1,1,1,1,1,1];
options= gaoptimset('PlotFcn',@gaplotbestf,'Vectorized','on');
[x,fval]=ga(Fitness,6,A,b,Aeq,beq,lb,ub,[],options);
The genetic algorithm is giving the error message
Error using InvClassifyGAFitnessFunc
Too many input arguments.
How to run my genetic algorithm in vectorized mode.

Respuestas (2)

Walter Roberson
Walter Roberson el 30 de Dic. de 2018
'classGA1 ' is a (68,1) cell array of the type of population class
When that is the case, then
classGA1{':',1}
expands into 68 different arguments, equivalent to classGA1{:}
  4 comentarios
Stephen23
Stephen23 el 30 de Dic. de 2018
Editada: Stephen23 el 30 de Dic. de 2018
@madhan ravi: indexing using parentheses, curly braces, etc, is just a convenience notation for subsref. You can see examples in its help:
And also some threads on this forum, showing how this is useful:
This is also why those tutors who give assignments which boldly state "inbuilt functions cannot be used" really are making life very hard for their pupils!
madhan ravi
madhan ravi el 30 de Dic. de 2018
Thank you!

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madhan ravi
madhan ravi el 29 de Dic. de 2018
Your function requires only two inputs whereas you have stuffed in 3 .
  4 comentarios
Kallam Haranadha Reddy
Kallam Haranadha Reddy el 30 de Dic. de 2018
i combined the two input arguments to the fitness function into a single argument and ran the GA. but the same error message too many input arguments in the fitness function is coming.
Stephen23
Stephen23 el 30 de Dic. de 2018
Editada: Stephen23 el 30 de Dic. de 2018
"Your function requires only two inputs whereas you have stuffed in 3 ."
There are actually 137 inputs to InvClassifyGAFitnessFunc:
Three inputs is probably the correct number, judging by this earlier thread:

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