Skip to content

The CC-D-DGDG-PSO algorithm for solving large scale unconstrained black-box optimization problems with divide-and-conquer strategy.

License

Notifications You must be signed in to change notification settings

tmp-coder/CC-DGDGepsilon-PSO

Repository files navigation

CC-GDGepsilon-PSO

The CC-GDGepsilon-PSO algorithm for solving large scale unconstrained black-box optimization problems with divide-and-conquer strategy.

The files are organised as below:

  • code: the main file contained all code

    • main.m: main function
    • CEC2010: the CEC2010 benchmark function
    • some other files are introduced in paper.
  • curve: running figure

  • doc: first draft

  • paper: corr paper

  • result: computation result

  • batch.py: for running in computer cluster.

published paper:

you can obtained the published paper in root directory:./A Dynamic Global Di�erential Grouping for Large-Scale Black-Box Optimization.pdf

and cite as :

Wu S., Zou Z., Fang W. (2018) A Dynamic Global Differential Grouping for Large-Scale Black-Box Optimization. In: Tan Y., Shi Y., Tang Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science, vol 10941. Springer, Cham

About

The CC-D-DGDG-PSO algorithm for solving large scale unconstrained black-box optimization problems with divide-and-conquer strategy.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published