Transforming Optimization Code from Problem-Based to Solver-Based Approach in MATLAB

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Hello,
I have successfully implemented an ILP problem using MATLAB's problem-based optimization approach. However, I am now looking to switch to the solver-based approach to take advantage of its flexibility and efficiency.
In the problem-based approach, I defined binary decision variables, constraints, and an objective function using optimvar, optimconstr, and optimexpr. The code works well, but I need guidance on how to transform this code into a solver-based format using intlinprog.
Here’s a summary of what I have:
Decision Variables:
A 3D binary matrix A(N, numNodes, num_vehicles) for task assignment.
A binary vector chi(num_vehicles) for satisfaction.
Other binary variables like z, t_wait_aux, etc.
Constraints:
Assignment constraints, dependency constraints, and time-based constraints.
I linearized expressions using auxiliary variables and max constraints.
Objective Function:
The objective is to maximize the satisfaction rate, expressed as a linear function of chi.
Could you provide guidance or directions how to systematically convert my existing problem-based variables and constraints into the matrix form required by intlinprog
Here is the code
the problem is attached.
Thank you for your continued help!
run('MyProblem.m')
Unrecognized function or variable 'Compute_uplink_time_linear'.

Error in MyProblem (line 38)
uplink_time = Compute_uplink_time_linear(A,all_subtasks,Data_rate);

Error in run (line 112)
evalin('caller', strcat(scriptStem, ';'));
  6 Comments
Maria
Maria on 16 Aug 2024
Hello @Steven Lord sorry for my late reply, I hadn't seen your comment.
prob2struct is just a suggestion to switch to solver mode. I didn't get an error but the result was weird and didn't fit the purpose. I used the problem based on the structure attached above in myProblem but I don't know if it is possible to convert the expressions into ILP statements, so I solved my problem as follows
% Solve the ILP problem
[x, fval, exitflag, output] = intlinprog(prob);

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Answers (1)

Matt J
Matt J on 16 Aug 2024
  3 Comments
Matt J
Matt J on 16 Aug 2024
Edited: Matt J on 16 Aug 2024
@Maria That's not what @Torsten said. He said that he doesn't recommend moving to solver-based form at all because it is hard to make changes once the problem is in that form.
If solve() works on the problem-based formulation then prob2struct has to work. All that solve() really does internally is convert to solver-based form for you (probably using prob2struct) and then run a traditional solver.
Maria
Maria on 16 Aug 2024
@Matt J Yes, I understand. I also wanted to say that it doesn't work because it didn't give the result I wanted because the problem has different variables.
My problem for the solver based is related to the objective function because same result was display for different constraints.

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