Multi-agent Cluster System for Optimal Performance in Heterogeneous Computer Environments.
Toshihiro IkedaAkira HaraTakumi IchimuraTetsuyuki TakahamaYuko TaniguchiHiroshige YamadaRyota HakozakiHaruo SakudaPublished in: KES (1) (2005)
Keyphrases
- multi agent
- real world
- optimal design
- data clustering
- optimal solution
- clustering algorithm
- cooperative
- closed form
- dynamic environments
- worst case
- highly dynamic
- dynamic programming
- case study
- databases
- feature space
- reinforcement learning
- computer technology
- optimal strategy
- information systems
- computer programming
- agent oriented
- heterogeneous environments