@Article{cmes.2004.005.213,
AUTHOR = {A. Rama Mohan Rao, T.V.S.R. Appa Rao, B. Dattaguru},
TITLE = {Generating optimised partitions for parallel finite element computations employing float-encoded genetic algorithms},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {5},
YEAR = {2004},
NUMBER = {3},
PAGES = {213--234},
URL = {http://www.techscience.com/CMES/v5n3/29682},
ISSN = {1526-1506},
ABSTRACT = {This paper presents an algorithm for automatic partitioning of unstructured meshes for parallel finite element computations employing float-encoded genetic algorithms (FEGA). The problem of mesh partitioning is represented in such a way that the number of variables considered in the genome (chromosome) construction is constant irrespective of the size of the problem. In order to accelerate the computational process, several acceleration techniques like constraining the search space, local improvement after initial global partitioning have been attempted. Finally, micro float-encoded genetic algorithms have been developed to accelerate the computational process.},
DOI = {10.3970/cmes.2004.005.213}
}