for %%C in (5,10,25,50,100,200) do ( for %%T in (1,2,3,4,5,6) do ( rem real task: maximize fitness=velocity rem frams "ex standard-mt" "ExpParams.threads=%%T;" "ExpParams.capacity=%%C;" "UserScripts.script_Multithreading_efficiency_test(0,120,10);" -q >exp-evol-speed\test_%%T_%%C.out rem real task: maximize fitness=height rem TODO show_evol_vertpos.sim >exp-evol-height\... rem no mutation, no crossover, only cloning - so that the same genotype is always evaluated. Useful to measure "raw" efficiency of parallel computation frams "ex standard-mt" "ExpParams.threads=%%T;" "ExpParams.p_mut=0;" "ExpParams.p_xov=0;" "ExpParams.capacity=%%C;" "UserScripts.script_Multithreading_efficiency_test(0,6,10);" -q >exp-evol-speed-nochange\test_%%T_%%C.out rem same as above but with a bigger genotype, so that the time spent on script processing is relatively shorter, and more time is used for pure simulation frams "ex standard-mt" "ExpParams.threads=%%T;" "ExpParams.p_mut=0;" "ExpParams.p_xov=0;" "ExpParams.capacity=%%C;" "UserScripts.script_Multithreading_efficiency_test(6,6,10);" -q >exp-evol-speed-nochange-biggeno\test_%%T_%%C.out ))