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A Random Key Based Genetic Algorithm for the Resource Constrained Project Scheduling Problem

J.J.M. Mendes (jjm***at***isep.ipp.pt)
J.F. Gonçalves (jfgoncal***at***fep.up.pt)
M.G.C. Resende (mgcr***at***research.att.com)

Abstract: This paper presents a genetic algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities of the activities are defined by the genetic algorithm. The heuristic generates parameterized active schedules. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computation results validate the effectiveness of the proposed algorithm.

Keywords: Project Management, Scheduling, Genetic Algorithms, Random Keys, RCPSP.

Category 1: Applications -- OR and Management Sciences (Production and Logistics )

Category 2: Combinatorial Optimization (Meta Heuristics )

Citation: AT&T Labs Research Technical Report TD-6DUK2C, June 30, 2005.

Download: [PDF]

Entry Submitted: 07/03/2005
Entry Accepted: 07/04/2005
Entry Last Modified: 07/03/2005

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