Evolutionary algorithms for the resource constrained scheduling problem

This paper investigates the use of evolutionary algorithms for solving resource constrained scheduling problem which belongs to the class of NP complete problems. The problem involves finding optimal sequence of activities with given resource constraints. Evolutionary algorithms used in this paper are genetic algorithms and genetic programming, for which adequate scheduling mechanisms are defined. Presented solutions are compared with existing heuristics or optimal results.

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