Genetic Algorithm - Vectorized Mode - Reg
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'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.
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답변 (2개)
Walter Roberson
2018년 12월 30일
'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{:}
댓글 수: 4
Stephen23
2018년 12월 30일
편집: Stephen23
2018년 12월 30일
@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
2018년 12월 29일
Your function requires only two inputs whereas you have stuffed in 3 .
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