Complex value assignment efficiency problem
Hi I am trying to do a value assignment in AIMMS. Here is the example:t and i are both the index of set time. n and r are the index for set Node. NodeInTime, needed_value are predetermined parameters. scenario is parameter changing in the process. noted_scenarios_index is a subset of Node. path is a mapping between index (r,t) and set Node.for (n,t)| t<>first(time) and n<=NodeInTime(t) do scenario := 1; noted_scenarios_index := {r | r <= NodeInTime(t) and path(r, t) = n}; for r in noted_scenarios_index do needed_value(scenario, n, t, i) := value(path(r,i), i); scenario := scenario + 1; endfor;endfor;I used debug move to check and surprisingly, the slowest part is:needed_value(scenario, n, t, i) := value(path(r,i), i);when it runs to this line, ‘scenario’, ‘n’, ‘t’ are determined and it took more than 30s to run this line….. So I don’t understand why it’s so slow.I also tried using an additional parameter like:addition(i) := value(path(r,i), i);needed_v
