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Efficient multiprocessor scheduling based on genetic algorithms

E.S.H. Hou, Ruiyun Hong, Nirwan Ansari

发表年份
2002
引用次数
47

摘要

An efficient method, based on genetic algorithms, for solving the multiprocessor scheduling problem is proposed. The representation of the search node is based on the schedule of the tasks in each individual processor. The genetic operator is based on the precedence relations between the tasks in the task graph. The genetic algorithm is applied to the problem of scheduling robot inverse dynamics computations.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

关键词

Computer scienceMultiprocessor schedulingMultiprocessingScheduling (production processes)Parallel computingTheoretical computer scienceGenetic representationGenetic algorithmQuality control and genetic algorithmsOperator (biology)

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