Abstract

The Multi-mode Resource Constrained Project Scheduling Problem is characterized by a set of tasks, resources and an objective function. All tasks of a project must be organized carefully taking into account precedence relations, the mode in which they are performed and availability of resources at a

Highlights

  • The project management keeps on a growing trend during recent years

  • Estimation of Distribution Algorithm (EDA) constitutes a family of algorithms to solve various optimization problems [34] and arises as an alternative to the difficulties of Genetic Algorithms (GA)

  • The experiments were performed on the datasets "j30_17.mm", "c15_9.mm", "c15_10.mm" and "c15_12.mm" from the PSPLIB repository (Project Scheduling Problem Library) [32], [39] in its variant of multiple modes

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Summary

Introduction

Investment processes are organized as projects with a high impact on society and economy In this sense, factors such as technological changes, economic pressures, work in multidisciplinary teams, limited resources and time, are essential elements that must be carefully coordinated to achieve project objectives with an adequate balance between costs and time [1]. Factors such as technological changes, economic pressures, work in multidisciplinary teams, limited resources and time, are essential elements that must be carefully coordinated to achieve project objectives with an adequate balance between costs and time [1] Within this context, the planning and construction process of optimal or quasi-optimal project schedules is a constant concern of the project managers. These studies show that, in the last years, the software industry projects have behaved as follows:

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