Abstract
This work describes a novel approach towards solving Multimode Resource Constrained Project Scheduling (MRCPS) Problems and an algorithm developed to implement this approach. The algorithm is intended to be used as an alternative to the various genetic algorithms currently being used to solve such problems. Using a deterministic approach that aims to select the optimum modes for execution as efficiently as possible, this algorithm has given deviations far below those of previous efforts in J30 dataset as published by PSPLib. This algorithm is expected to have great implications in the field of Optimisation.
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