This paper investigates the use of evolutionary algorithms for solving resource constrained scheduling problem. This problem is in the class of NP complete problems. It involves finding optimal sequence of activities with given resource constraints. Evolutionary algorithms used in this paper are genetic algorithms and genetic programming, for which an adequate scheduling mechanism is defined. P...

This paper reports on a new solution approach for the well-known multi-mode resource-constrained project scheduling problem (MMRCPSP). This problem type aims at the selection of a single activity mode from a set of available modes in order to construct a precedence and a (renewable and non-renewable) resource feasible project schedule with a minimal makespan. The problem type is known to be NPh...