Hi , is it possible for someone to insert in this genetic algorithm in matlab equations, values, equations of constraints and values in order to be able to have a code that can adapt to mine please? King regards % Define decision variables, objectives, and constraints nvars = 5; % number of decision variables nobj = 8; % number of objectives ncon = 20; % number of constraints % Set up genetic algorithm options options = optimoptions('ga', ... 'PopulationSize', 100, ... 'MaxGenerations', 100, ... 'MutationFcn', {@mutationuniform, 0.05}, ... 'CrossoverFcn', @crossoverarithmetic); % Define objective and constraint evaluation functions objfun = @(x) [obj1(x), obj2(x), obj3(x), obj4(x), -obj5(x), -obj6(x), -obj7(x), -obj8(x)]; confun = @(x) deal(con1(x), con2(x), ..., con20(x)); % Run genetic algorithm [x, fval, exitflag, output, population, scores] = ga(objfun, nvars, [], [], [], [], [], [], confun, options); % Plot Pareto front pareto(fval(:,1:nobj/2), -fval(:,nobj/2+1:end)); xlabel('Objective 1'); ylabel('Objective 2'); zlabel('Objective 3');
Hi , is it possible for someone to insert in this genetic
King regards
% Define decision variables, objectives, and constraints
nvars = 5; % number of decision variables
nobj = 8; % number of objectives
ncon = 20; % number of constraints
% Set up genetic algorithm options
options = optimoptions('ga', ...
'PopulationSize', 100, ...
'MaxGenerations', 100, ...
'MutationFcn', {@mutationuniform, 0.05}, ...
'CrossoverFcn', @crossoverarithmetic);
% Define objective and constraint evaluation functions
objfun = @(x) [obj1(x), obj2(x), obj3(x), obj4(x), -obj5(x), -obj6(x), -obj7(x), -obj8(x)];
confun = @(x) deal(con1(x), con2(x), ..., con20(x));
% Run genetic algorithm
[x, fval, exitflag, output, population, scores] = ga(objfun, nvars, [], [], [], [], [], [], confun, options);
% Plot Pareto front
pareto(fval(:,1:nobj/2), -fval(:,nobj/2+1:end));
xlabel('Objective 1');
ylabel('Objective 2');
zlabel('Objective 3');
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