i am a new to genetic algorithm and want to know how to write the fitness function and constarints for the genetic algorithm with default optimisation settings. i am attaching the codes written for MILP problem as below;

tcost=[81 92 101 130 115;117 77 108 98 100;102 105 95 119 111;115 125 90 59 74;142 100 103 105 71;81 92 101 130 115;117 77 108 98 100;102 105 95 119 111;115 125 90 59 74;142 100 103 105 71]; demand=[12;8;14;16;7]; fixedcost=[6000,4500,6500,4100,4000,9000,6750,9750,6150,6000]; capacity=[10;10;10;10;10;20;20;20;20;20]; S=10; M=5; obj1 = zeros(1,S); obj2=zeros(S,M); for ii = 1:S obj1(ii) = fixedcost(ii); end

for ii = 1:S for jj = 1:M obj2(ii,jj) = tcost(ii,jj); end end obj=[obj1(:);obj2(:)]; matwid = length(obj); Aineq = spalloc(S,matwid,S*(M+1)); % Allocate sparse Aeq bineq=zeros(S,1); clearer1 = zeros(size(obj1)); clearer12 = clearer1(:); clearer2 = zeros(size(obj2)); clearer22 = clearer2(:); counter = 1; for ii = 1:S xtemp = clearer1; xtemp(ii)=-capacity(ii); xtemp1=clearer2; xtemp1(ii,:)=1; xtemp = sparse([xtemp(:);xtemp1(:)]); % Convert to sparse Aineq(counter,:) = xtemp'; % Fill in the row counter = counter + 1; end

Aeq = spalloc(M,matwid,S*M); % Allocate sparse Aeq beq = zeros(M,1); % Allocate bineq as full

counter = 1; for ii = 1:M xtemp = clearer2; xtemp(:,ii)=1; xtemp = sparse([clearer12;xtemp(:)]); Aeq(counter,:) = xtemp'; beq(counter)=demand(ii); counter = counter + 1; end intcon=1:S; lb=zeros(length(obj),1); ub=Inf(length(obj),1); ub(1:S)=1; x = intlinprog(obj,intcon,Aineq,bineq,Aeq,beq,lb,ub); [x,objval] = intlinprog(obj,intcon,Aineq,bineq,Aeq,beq,lb,ub);

[Alan Weiss]

1. Mark up your code using the {} Code button so that we can read it more easily.
2. What is your question? if it is a question in how to write fitness or nonlinear constraint functions, then see Compute Objective Functions and also Write Constraints.

Alan Weiss

MATLAB mathematical toolbox documentation