- author = "Ivan T. Tanev and Takashi Uozumi and Koichi Ono",
- title = "DCOM-based Parallel Distributed Implementation of GP",
- journal = "Parallel and Distributed Computing Practices",
- year = "2000",
- volume = "3",
- number = "1",
- month = mar,
- keywords = "genetic algorithms, genetic programming",
- ISSN = "1097-2803",
-
URL = "
http://www.scpe.org/index.php/scpe/article/view/181",
-
abstract = "We present an approach for parallel distributed
implementation of genetic programming, which is devoted
to improve the computational performance of genetic
programming by exploiting parallelism at the level of
evaluation of the individuals. The approach is based on
DCOM client-server model. Using the DCOM-paradigm
offers the advantages of parallel distributed
implementation of genetic programming, such as binary
standardization, platform-, machine- and
protocol-neutrality, and seamless integration with
different Internet protocols. The developed
implementation of genetic programming runs in LAN
and/or Internet environments.
The double-queued multi-threaded architecture of the DCOM-server, aimed to extend the functionality of the DCOM with features, such as asynchronous communications still implementing blocking-mode calls, and reduced communication overhead of the evaluation of simple GP-individuals, is developed. The implementation of batching, directed towards the alleviation of communication overhead during the evaluation of simple GP-individuals, is proposed. Analytically estimated and experimentally obtained performance evaluation results are discussed. The results show that clear super linear speedup can be achieved upon code growth in genetic programming.",
- notes = "parallel and distributed computing Journal renamed 'Scalable Computing: Practice and Experience'",
