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Heterogeneous computing systems require an efficient way of distributing tasks across processing nodes. The tasks have to be mapped to the processors which execute them in the shortest time possible, while keeping the processors at a similar load. Tests have shown that, in most cases, the genetic algorithm produces the best solution among all the mapping heuristics. This paper presents a Genetic Algorithm...
Community detection in social networks is a hot research topic that has received great interest in the recent years due to its wide applicability. This paper proposes a scalable approach for community structure identification using a genetic algorithm. Two existing fitness functions are analyzed and genetic parameters are tuned on thoroughly studied networks with known community structures. Experiments...
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