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A genetic algorithm for the resource constrained multi-project scheduling problem. (English) Zbl 1146.90412

Summary: This paper presents a genetic algorithm for the resource constrained multi-project scheduling problem. The chromosome representation of the problem is based on random keys. The schedules are constructed using a heuristic that builds parameterized active schedules based on priorities, delay times, and release dates defined by the genetic algorithm. The approach is tested on a set of randomly generated problems. The computational results validate the effectiveness of the proposed algorithm.

MSC:

90B35 Deterministic scheduling theory in operations research

Software:

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References:

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