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add wfg pareto front #114

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gemsanyu
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the pareto front generating methods are previously commented out
also added lexicographical sort so that it can be drawn as line by
pyplot for 2-objective

but the visualization is a bit odd at the right end of the 2-D pareto fronts

Julian Blank and others added 26 commits July 6, 2020 17:48
Fixed getting started mistake for n_offsprings
the implementation is based on the Nature Inspired Algorithms Book
and XS Yang CS implementation at
https://www.mathworks.com/matlabcentral/fileexchange/29809-cuckoo-search-cs-algorithm
-refactor get global step
-add survival in initialization (for mocs to trigger)
-user termination as given in parameter
-add comment
Similar to CS but with multi objective survival from nsga2 or nsga3
-fix cs use normal distribution instead of uniform in Mantegna's Algorithm
-fix step size scale is now per dimension of x bounds not scalar (alfa)
-add pics to docs
Add Multiple Objective Cuckoo Search
the pareto front generating methods are previously commented out
also added lexicographical sort so that it can be drawn as line by
pyplot for 2-objective
@blankjul
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blankjul commented Dec 2, 2020

Thanks for the contribution. Does this generalize to ND too?
(can't remember why I commented it out to be honest)

@gemsanyu
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gemsanyu commented Dec 4, 2020

Hey, I just saw your reply. Yes.
I now know why the 2D visualization is off (a "wide" gap between points). It's because of the random generation of the PF. Even if I set the size of the PF to 1000, the gap is still visible. However, I haven't really check its effect on the IGD calculation. What do you think?

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8 participants