-
Notifications
You must be signed in to change notification settings - Fork 381
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
add wfg pareto front #114
base: main
Are you sure you want to change the base?
add wfg pareto front #114
Conversation
Add wrapper to MODAct problems
bug fix in hv.py under vendor
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
Thanks for the contribution. Does this generalize to ND too? |
Hey, I just saw your reply. Yes. |
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