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With the integration of Approximate Bayesian Computation in mgo, we have a foot in the door of bayesian approaches ; it would be interesting to discuss if we could integrate other methods such as Monte ...
  • JusteRaimbault
  • Opened 
    on May 17, 2019
  • #12

Integrate the experimental implementation done here
  • JusteRaimbault
  • Opened 
    on May 13, 2019
  • #11

Exploring a highly stochastic model with PSE lead some of us to a questioning on assumptions for a reasonable use of PSE regarding stochastic variability of indicators: from what I understood and what ...
  • JusteRaimbault
  • Opened 
    on May 7, 2019
  • #10

We have internal metrics in mgo to measure crowding, diversity (the hitmap) in pse ; but we do not have generic measures of open-endedness, which could be useful to test benchmark pse or new algorithms. ...
easypick
enhancement
  • JusteRaimbault
  • Opened 
    on Apr 16, 2019
  • #9

I came across this several time: when running a noisy nsga2, some solutions have too few replications ; but most of the time a filtering of the final population on number of replications does the trick. ...
  • JusteRaimbault
  • 3
  • Opened 
    on Mar 19, 2019
  • #8

HI, that s my first experience to use multi objectives algorithm with your code. My fitness function as below: object test_food { var p:Vector[Vector[Double]] = Vector.empty[Vector[Double]] var ...
  • liaicheng
  • 2
  • Opened 
    on Sep 10, 2018
  • #6

Hello, I wanted to try out mgo, looks awesome, is it possible to publish a version for scala 2.12 ? thanks 👍
  • ylaurent
  • 4
  • Opened 
    on Feb 23, 2017
  • #5

Actually Evolution component is defined like this trait Evolution extends Termination with Lambda with G with F with P with Archive with Breeding with Elitism { self = It ...
discussion
  • reyman
  • 1
  • Opened 
    on Apr 2, 2015
  • #4

It s not really clear in MGO, there is no declared step for fitness computation. The step is embeded in elitism() function call during evolution, perhaps there is a better way to create a real function ...
discussion
  • reyman
  • 3
  • Opened 
    on Mar 27, 2015
  • #3

It seems the non dominated elitism used by NSGA2 implementation in MGO is not correct. Actually the different front are builded using information based on the number of domination, this is another type ...
bug
  • reyman
  • Opened 
    on Mar 26, 2015
  • #2
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