matlab - Find the optimum combination -


i trying optimise this: function [ lps, lce ] = runproject( nw, np, nb) calls other functions have written before. idea find optimum combination of nw, np, nb , keep lps=0, while lce minimum. nw, np, nb should positive integers. lce positive.

function [ lps, lce ] = runproject( nw, np, nb) % %   detailed explanation goes here  [pg, pw, pp] = pgener();  [pb, lps] = bat( pg );  [lce] = constr(pw, pp, nb)  end

however, tried gamultiobj solver global optimization toolbox of matlab2015 (trial version) different approach pareto front, got error: "optimization running. error running optimization. not enough input arguments."

enter image description here

you should write objective function following example:

function scores = rastriginsfcn(pop) %rastriginsfcn compute "rastrigin" function.     % pop = max(-5.12,min(5.12,pop));     scores = 10.0 * size(pop,2) + sum(pop .^2 - 10.0 * cos(2 * pi .* pop),2);

as can see, function accepts inputs single vector pop.

with such representation can evaluate function follows:

rastriginsfcn([2 3]) >> ans      13

still running optimization toolbox have mention number of variables, instance, in example equal 2:

[x fval exitflag] = ga(@rastriginsfcn, 2)

it same multi-objective optimization. check following image mathworks:

enter image description here


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