A genetic algorithm for project scheduling with multi-modes and renewable resources

Authors:
J. Magalhães-Mendes
Affiliations:
School of Engineering of Polytechnic of Oporto, Rua Antonio Bernardino de Almeida, Porto, Portugal
Venue:
MMES'10 Proceedings of the 2010 international conference on Mathematical models for engineering science
Year:
2010

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Abstract

This paper presents a genetic algorithm-based approach for project scheduling with multi-modes and renewable resources. In this problem activities of the project may be executed in more than one operating mode and renewable resource constraints are imposed. The objective function is the minimization of the project completion time. The idea of this approach is integrating a genetic algorithm with a schedule generation scheme. This study also proposes applying a local search procedure trying to yield a better solution when the genetic algorithm and the schedule generation scheme obtain a solution. The experimental results show that this algorithm is an effective method for solving this problem.