NDLI: A new CSP graph-based representation to resource-constrained project scheduling problem

Content Provider	IEEE Xplore Digital Library
Author	Gonzalez-Pardo, A. Camacho, D.
Copyright Year	2014
Description	Author affiliation: Comput. Sci. Dept., Univ. Autonoma de Madrid, Madrid, Spain (Gonzalez-Pardo, A.; Camacho, D.)
Abstract	Resource-Constrained Project Scheduling Problem (RCPSP) is a NP-hard combinatorial problem that consists in scheduling different activities in such a way the resource, precedence, and temporal constraints are satisfied. The main problem when dealing with NP-hard problems is the exponential growth of the computational resources needed to solve the problems. This work is an extension of a previous one, where a new CSP graph-based representation to solve Constraint Satisfaction Problems (CSP) by using Ant Colony Optimization (ACO) were proposed. This paper studies the behaviour of the CSP graph-based representation when it is applied to a real-world complex problem, in this case the RCPSP. The dataset used in this work has been extracted from Project Scheduling Problem Library (PSPLIB). Experimental results show that the proposed approach provides excellent results, closer to the optimum values published in the PSPLIB repository. Also, it has been analysed how the number of jobs and the number of different execution modes affect the performance of the algorithm.
Starting Page	344
Ending Page	351
File Size	296544
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900543
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Processor scheduling Schedules Ant colony optimization Sociology Statistics Algorithm design and analysis
Content Type	Text
Resource Type	Article

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