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Genetic Algorithms for Dynamic Load-Balancing by Ever Esparza is a document available to read on EtoBox.

What is Genetic Algorithms for Dynamic Load-Balancing about?

This document discusses using genetic algorithms for dynamic load balancing in parallel computing systems. It describes how a genetic algorithm can be used to evolve optimal or near-optimal task allocations as the system operates. The algorithm considers issues like threshold policies, information exchange, and communication. The effects of these issues on the genetic load balancing algorithm are compared to the performance of a first-fit heuristic approach.

Author

Ever Esparza

Language

EN