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FGPGA: An Efficient Genetic Approach for Producing Feasible Graph Partitions
Graph partitioning, a well studied problem of parallel computing has many applications in diversified fields such as distributed computing, social network analysis, data mining and many other domains.
GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures
In this paper, we propose a new genetic algorithm for solving the Euclidean distance geometry problem for protein structure prediction given sparse NMR data.
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