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