@inproceedings{67c1fa1ffa2140b193edc8de5baeeaee,
title = "The performance effects of interaction frequency in parallel cooperative coevolution",
abstract = "Cooperative coevolution (CC) employs a divide-and-conquer paradigm for tackling complex optimization problems. 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 on the performance of CC. In this paper, we investigate experimentally the performance effects of interaction frequency in parallel CC. The experimental results show that it is overall best for subpopulations to interact with each other as frequently as possible when communication cost is ignored; when communication cost is considered, the best interaction frequency varies from problem to problem and a dynamic change of it is desirable during the optimization process.",
keywords = "Cooperative Coevolution, Interaction Frequency",
author = "Xiaofen Lu and Stefan Menzel and Ke Tang and Xin Yao",
year = "2014",
doi = "10.1007/978-3-319-13563-2_8",
language = "English",
isbn = " 9783319135625",
volume = "8886",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "82--93",
editor = "Grant Dick and Browne, {Will N} and Peter Whigham and Mengjie Zhang and Bui, {Lam Thu} and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Songh and Tan, {Kay Chen} and Ke Tang",
booktitle = "Simulated Evolution and Learning",
note = "10th International Conference on Simulated Evolution and Learning SEAL 2014, Dunedin, New Zealand. ; Conference date: 15-12-2014 Through 18-12-2014",
}