DOTcvpSB: a Matlab Toolbox for Dynamic Optimization in Systems ...

DOTcvpSB: a Matlab Toolbox for Dynamic Optimization in Systems Biology11.5.6 MITSDOTcvp: dotcvp_mits_default.m1 function [data] = dotcvp_mits_default(data)23 data.options.mits.NLPtol = data.nlp.NLPtol; % NLP tolerance level4 data.options.mits.max_iter = data.nlp.MaxIter; % maximum number of iterations5 data.options.mits.MaxTime = data.nlp.MaxCPUTime; % maximum CPU time [sec]6 data.options.mits.fex = -inf; % stopping criteria: if f = fex --> stop7 data.options.mits.locstart = 0; % if true: MITS starts with a local solver run from the initial guess89 end11.5.7 SRESDOTcvp: dotcvp_sres_default.m1 function [data] = dotcvp_sres_default(data)23 data.options.sres.mm = 'min'; % ['max'|'min'] (for maximization or minimization)4 data.options.sres.lambda = 150; % population size (number of offspring) (100 to 200)5 data.options.sres.G = 100000000; % maximum number of generations6 data.options.sres.mu = round(data.options.sres.lambda/7); % parent number (mu/lambda usually 1/7), before: roundn(lambda/7,0)7 data.options.sres.pf = 0.45; % pressure on fitness in [0 0.5] try around 0.458 data.options.sres.varphi = 1; % expected rate of convergence (usually 1)9 data.options.sres.MaxTime = data.nlp.MaxCPUTime; % maximum CPU time [sec]10 data.options.sres.itermax = data.nlp.MaxIter; % maximum number of iterations11 data.options.sres.MaxFunEvals = inf; % maximum number of function evaluations12 data.options.sres.NLPtol = data.nlp.NLPtol; % NLP tolerance level13 data.options.sres.delta = 0.75; % allowed the time variation for time grid adaptation [0 < 0.75 < 1]1415 endPage – 53