I’m using Octopus for gentic optimization on high constrained problems.
The fitness evaluation is only based on the price of the solution.
I can’t understand why octopus is giving me so strange and uncomprehensive results :
- Generation 1 is empty
- I set a max poulation of 100 indivduals : 164 ind on Gen 2, 150 on Gen 3, 155 on Gen 4 …
- This is the result the pareto front :
Gen 29 : 5710105.81334
Gen 30 : 5710105.81334
Gen 31 : 5805383.57809
Gen 32 : 5805383.57809
It get up, even if the objectif is to minimize
- When trying to reinstate best solution (based on visual selection thanks to the graph) the graph and the solution does not match (see picture below)
Can someone explain me what is happening on each point ? … octopus seems to be a real black box.
PS : i only had 1 fitness objective (price), i just activate the “diversify parameters” to see better
(i’m also open to document about octopus, as not much literrature is accessible, or even others optimization tools with true/false input to validate each ind -galapagos doesn’t haveit)
the axis and real fitness doesn’t match … (Y axis is just “diversify parameters”)