Platypus

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seed option to keep the results reproducible

3

Is there a "seed" option in the Platypus which can be defined to keep the results reproducible?

ashuein

I have three questions related to the population? 1) How can we keep the values of the initial populations? I saw #71 where the archive method has been used to...

ashuein

How to return a global optimum

5

Hi, as I'm trying to get more and more into coding i was interested into use platypuc for multiple response optimization in order to find a global optimum given a...

michelesaputo

violating constraints

2

The following is my code: (In File 2): import math import random import operator import functools from platypus.core import Problem, Solution, EPSILON from platypus.types import Real, Binary from abc import...

harsha3080

Creating multiple variables

3

Hello! In my program, I have about 400 variables that will be considered in my NSGA-II problem. Is there any way how to assign such huge amount of variables with...

Erison356

How to save results to local files?

1

Does the Platypus provide methods to save and load the results generated by the experiment() or the algorithm.run() functions?

yjx4131

How to pass the initialization to the optimization

1

Can you please inform how to pass an initialization (e.g., x0) to the optimization ?

xinghua-qu

when i am using 3 objective nsga 2 optimization, it gives this value error. It suggests me to use a.any() or a.all(). Where should I use this and which one...

harsha3080

Inconsistent Results from NSGA-II

3

Excuse my inexperience with things like this. I am working on a project where I am doing a single objective optimization of 7 variables with 4 constraints. Right now I...

khoopes

Gaussian assisted MOGA tend to use 50-60% less iterations as compared to regular MOGA's so there is great benefit in doing so. Here is a Link to two R-based Gaussian...

nelinnemann