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Project managers have a difficult issue to deal with: identify tasks to plan during project management, with their technical and non-technical parameters, determine a target to reach, and effectively reach it to avoid financial penalties. This paper presents a tool able to join system design and project management. We think thus facilitate the construction of an architecture of planning and the optimization of this one according to methods that we propose to develop. Our main motivation is to prevent the obvious incompatibilities between technical objectives and socio-economical requirements in the enterprise. Thus, we want to help decision makers to chose a project skeleton, called scenario, at the launching of the project, but also during its management, in order to quickly react in case of the occurrence of any perturbation. A method using evolutionary algorithms seemed adapted. We will see the benefits that result from this approach and concludes on the perspectives of larger applications we can envisage thanks to the tool that supports it, GESOS.

GESOS: A Multi-Objective Genetic Tool for Project Management Considering Technical and Non-Technical Constraints