Networks of Genetic Algorithm Optimization
-
- YAMAMOTO Toshihiko
- Department of Computer Science, National Defense Academy
-
- KOMATSU Takanori
- Department of Computer Science, National Defense Academy
-
- NAMATAME Akira
- Department of Computer Science, National Defense Academy
Bibliographic Information
- Other Title
-
- 進化手法による最適ネットワークの生成
Abstract
One direction of the network research is currently turning to understanding how the structure of social networks determines the dynamics of various types of social process. An important feature of many complex systems, both natural and artificial, is the structure and organization of their interaction networks. In our study, the optimal network topology is generated by using genetic algorithm (GA). We use the weighted fitness function of the maximum eigenvalue of adjacency matrix and the link density. We show various types of networks generated as the optimal networks and we investigate the properties of these. Our network design method enables us to networks which have better performances for diffusion process.
Journal
-
- Computer Software
-
Computer Software 28 (1), 26-33, 2011
Japan Society for Software Science and Technology
- Tweet
Details 詳細情報について
-
- CRID
- 1390001204737499776
-
- NII Article ID
- 130004549210
-
- ISSN
- 02896540
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed