An evolutionary approach to load balancing parallel computations
We present a new approach to balancing the workload in a multicomputer. It is based on a genetic algorithm that combines a number of design choices in order to ameliorate the problem of premature convergence. The genetic algorithm is further hybridized by including a hill climbing procedure which si...
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| Format: | conferenceObject |
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1991
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| Online Access: | http://hdl.handle.net/10725/7956 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=633124 |
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