Recently, we developed several composition functions to evaluate evolutionary algorithms. The objective of this work is explained in our Swarm Intelligence Symposium 2005 paper and also in the CEC'05/CEC'06/CEC'07 Invited Session pages.

If you publish papers making use of these functions, please keep us informed. We wish to keep track of the progress & performance.

J. J. Liang, P. N. Suganthan and K. Deb, "Novel Composition Test Functions for Numerical Global Optimization", IEEE Swarm Intelligence Symposium, pp. 68-75, June 2005.

Matlab codes of composition functions.

J. J. Liang, et al, "Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions", to appear in IEEE Transactions on Evolutionary Computations in June 2006.

CEC'05 Invited Session on Evolutionary Real Parameter optimization

CEC'06 Invited Session on Evolutionary Constrained Real Parameter optimization

CEC'07 Invited Session on Performance Assessment of MOEAs

CEC'08 Invited Session on large scale global optimization