Originally posted by: CedricVB

Hello,

In our CP model, we would like to have multiple objectives:

minimize sum (<i,j> in Edges, m in Camions) Dist[<minl(i,j), maxl(i,j)>]*x[<i,j>,m];

maximize sum (k in Camions, <i,j> in Edges : i == k.position) x[<i,j>,k]*charge[j][k];

minimize sum (<i,j> in Edges, m in Camions) x[<i,j>,m]*(tempstrajet[<minl(i,j),maxl(i,j)>]+service[i][m]);

How does the CP optimizer handle multiple-objective optimization? Will it try to optimize the first objective first? Will it use Pareto?

Kind regards,

Cedric

Originally posted by: GGR

Hi Cedric

You will find all information and an example about multi-objective optiimization in CPO  the documentation page of OPL

in the item staticLex

Hope that helps

Originally posted by: CedricVB

Thanks for your help,

This documents the function "staticLex", but what will happen exactly when we use multiple minimize/maximize statements without using the staticLex function?

Kind regards,

Cedric

Originally posted by: GGR

Hi Cedric

Semantically, it is a change of the model, so I would say it should take the last declared one (regarding the model as a procedural code). That is to have an effect a call to the solver (cp.solve or chained model in OPL) is required.

Hope that helps