Dynamic Optimization in matlab with optimization toolbox

Hello,i am using matlab to simulate a pressure swing adsorption process with pdepe routine and i want to optimize the process.Basically i have a dynamic NLP optimization problem with 4 objective functions and i wonder if it is possible to do it in matlab with the optimization toolbox .If it is possible any good examples where i can start it will be great because from my search in web i did not find much except from some very simple examples.

Thank's

Answer 1

[Alan Weiss]

Do you have four objective functions or do you have four control variables?

If you have four objective functions, then you have a choice of multiobjective solvers that either attempt to satisfy a set of goals (fgoalattain) or generate a Pareto front (gamultiobj or paretosearch, which are in Global Optimization Toolbox). Or you can decide on a weighting of your objectives (multiply them by weights and add them up) and make a single-objective function.

If you have just one objective function, then any solver will work, probably fmincon is the solver of choice for most problems, but take into account the considerations in Optimizing a Simulation or ODE.

Good luck,

Alan Weiss

MATLAB mathematical toolbox documentation

[ANDREAS CHARALAMBOUS]

hello Alan,i have 4 objective functions and 4 control variables.Ok thank you very much for your answer i will look if i find any information on how to implementing this,if you know any good examples to take a look at it will be very helpful.