Preliminary results on DECC-G (a baseline model):

Algorithms	Quality	f₁	f₂	f₃	f₄	f₅	f₆	f₇	f₈
DECC-G	Best	1.75e-13	9.90e+02	2.63e-10	7.58e+09	7.28e+14	6.96e-08	1.96e+08	1.43e+14
	Median	2.00e-13	1.03e+03	2.85e-10	2.12e+10	7.28e+14	6.08e+04	4.27e+08	3.88e+14
	Worst	2.45e-13	1.07e+03	3.16e-10	6.99e+10	7.28e+14	1.10e+05	1.78e+09	7.75e+14
	Mean	2.03e-13	1.03e+03	2.87e-10	2.60e+10	7.28e+14	4.85e+04	6.07e+08	4.26e+14
	Std	1.78e-14	2.26e+01	1.38e-11	1.47e+10	1.51e+05	3.98e+04	4.09e+08	1.53e+14

Algorithms	Quality	f₉	f₁₀	f₁₁	f₁₂	f₁₃	f₁₄	f₁₅
DECC-G	Best	2.20e+08	9.29e+04	4.68e+10	9.80e+02	2.09e+10	1.91e+11	4.63e+07
	Median	4.17e+08	1.19e+07	1.60e+11	1.03e+03	3.36e+10	6.27e+11	6.01e+07
	Worst	6.55e+08	1.73e+07	7.16e+11	1.20e+03	4.64e+10	1.04e+12	7.15e+07
	Mean	4.27e+08	1.10e+07	2.46e+11	1.04e+03	3.42e+10	6.08e+11	6.05e+07
	Std	9.89e+07	4.00e+06	2.03e+11	5.76e+01	6.41e+09	2.06e+11	6.45e+06

Note that information about the DECC-G algorithm can be found in the following paper:

Zhenyu Yang, Ke Tang and X. Yao: "Large Scale Evolutionary Optimization Using Cooperative Coevolution",Information Sciences, 178(15):2985-2999, August 2008.
Available as a PDF here.

The parameter group size was set to s=100.