TASK SCHEDULING FOR PARALLEL SIMULATION USING GENETIC ALGORITHMS

Peter Bober

   This paper describes a simulation task splitting and subtasks allocation to multiple processors. A genetic algorithms are used for optimizing the performance of a multiprocessor simulation system. A chromosome encoding and fitness function design is provided.

Keywords: simulation, parallel computing, transputer, genetic algorithm

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