Recent techniques in multi-mode project scheduling and multiobjective optimization with Evolutionary algorithms are combined in this paper. We propose a single step Evolutionary algorithm to find multiple Pareto-optimal solutions to the multi-mode resource-constrained project scheduling problem which make it possible that the decision maker can be able to choose the most appropiate solution according to the current decision environment.
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