Empirical analysis of cooperative coevolution using blind decomposition
Min Shi · 2011
How to decompose problems effectively and how to select appropriate collaboration methods for problems with particular separabilities have been discussed in Cooperative Coevolutionary Algorithms (CCEAs) research for many years. In most of the previous work, the prior knowledge of decomposition about the problems is obtainable. However, there could be some real problems that the information to conduct the decomposition of the problems is unclear. This paper offers a solution by decomposing the problems in a blind way. We provide an analysis if the blind decomposition is feasible and give some basic advice on how to implement the blind decomposition.