deap configuration for the concave pareto for multiobjective minimization problem

DEAP / deap

Distributed Evolutionary Algorithms in Python

http://deap.readthedocs.org/

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deap configuration for the concave pareto for multiobjective minimization problem #509

Open CuriousSingularity opened 3 years ago

CuriousSingularity commented 3 years ago

Hello, I have been using the deap library and it is great. Thanks for the that. I have a multi-objective minimization problem but the Pareto for the problem is concave, in this case, i don't see a proper convergence. Is there anything to overcome this? Any example would be really helpful. Thanks.

fmder commented 3 years ago

NSGA algorithm has been built to tackle all types of Pareto fronts. Maybe you can try NSGA-III. Other than that may changing population size, or mutation rate can help.