Evolution of Scheduling Heuristics for the Resource Constrained Scheduling Problem
نویسنده
چکیده
With the growth of projects in complexity, size and resource demands, finding fea-sible schedules of good quality becomes a very challenging task within project man-agement. Therefore the resource constrained project scheduling problem (RCPSP) hasbeen studied extensively during the last decades yielding a variety of exact and heuris-tic solving approaches. In this context, the main issue described within this thesis is theapplication of genetic programming for the evolution of scheduling heuristics capableof efficiently handling generic project instances in both static and dynamic conditions.For this purpose a hyper-heuristic model was devised and implemented with genericextension capabilities. An extensive round of experiments was conducted for parame-ter optimization and the generation of best possible solutions. The effectiveness of theproposed approach is analysed considering existing scheduling heuristics and environ-mental conditions.
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