search

DEAP / deap

Distributed Evolutionary Algorithms in Python
http://deap.readthedocs.org/
GNU Lesser General Public License v3.0
5.87k stars 1.13k forks source link

Multi-objective optimization only returns one single output #578

Open YooTimmy opened 3 years ago

YooTimmy commented 3 years ago

Hello there,

I am learning to use DEAP library to perform multi-objective optimization, I am largely fitting my problem based on the example shown in this link:

However, the output I got from the optimisation is only one single solution, instead of forming a pareto front like what has been shown in the example notebook above. Is there any possible clues you might share in this case? I am thinking no matter what, there should be several solutions in the output to form the pareto front showing trade-offs.

fmder commented 3 years ago

Are you sure you are using the pareto hall of fame? The final solution could also be the full final population is using a multi-objective selection.