@inproceedings {pub2776,
	title = {The Effects of Interaction Frequency in Parallel Cooperative Coevolution},
	author = {Xiaofen Lu AND Stefan Menzel AND Ke Tang AND Xin Yao},
	year = {2014},
	month = {December},
	abstract = {Cooperative coevolution (CC) employs a divide-and-conquer paradigm for tackling complex optimization problem. Its performance is influenced by many design decisions. Therefore, to beneficially use it, it is important to acquire some knowledge of the effects of different design settings. In this paper, we focus on studying the performance effects of interaction frequency in parallel CC by investigating the relationship between it and other components of CC. We show that it is overall best for subpopulations to interact as frequently as possible when communication cost is neglected. When communication cost is involved, we show that the best interaction frequency varies from problem to problem and a dynamic change of it is desirable during the evolutionary process.},
	publisher = {Springer, LNCS, LNAI, LNBI},
	booktitle = {The Tenth International Conference on Simulated Evolution And Learning (SEAL 2014)}
}