This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning and, furthermore, to fin...
Didier Keymeulen, Wolfgang Fink, Michael I. Fergus...
HeteroSort load balances and sorts within static or dynamic networks. Upon failure of a node or path, HeteroSort uses a genetic algorithm to minimize the distribution path by optim...
Emmett Davis, Bonnie Holte Bennett, Bill Wren, Lin...
This paper presents our on-going research into selforganizing and self-healing networks of resource brokers, for use in complex Peer-to-Peer (P2P) resource sharing and Grid comput...
We present an extension of traditional "black box" fuzz testing using a genetic algorithm based upon a Dynamic Markov Model fitness heuristic. This heuristic allows us t...
Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cl...