Toward the Application of Genetic Algorithms to Real World Resource Constrained Project Scheduling Problems.

authors: John Lancaster, Kai Cheng

Much research has been invested in the optimisation of the Resource Constrained Project Scheduling Problem (RCPSP) using Genetic Algorithms. Reviews of this work can be found in Lancaster and Ozbayrak [1] and Kolisch and Hartmann [2]. This research however doesn’t extend to the solution of real world RCPSP. As part of ongoing research the authors describe a practical implementation of Genetic Algorithm optimisation within a commercial scheduling package applied to simple real world problems. The paper will show the effectiveness of genetic algorithms when applied to real world RCPSP.

Section 1 provides an introduction to Genetic Algorithms applied to the RCPSP, section 2 outlines the algorithm that has been implemented and the development process undertaken, section 3 gives a description of the problem that has been utilised, section 4 provides results and finally section 5 concludes and makes recommendations for further research.

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mass845's picture
Submitted by mass845 on Tue, 03/07/2007 - 8:54pm.

Hi,
I'd downloaded you paper, but unable to open it. Could someone help me?
Regards,


Ze Ji's picture
Submitted by Ze Ji on Wed, 04/07/2007 - 11:51pm.

Yes. I have the same problem of opening the PDF file.
Thank you.

Ze


Afshin's picture
Submitted by Afshin on Thu, 05/07/2007 - 6:27pm.

I did download the paper and it works fine for me.


John Lancaster's picture
Submitted by John Lancaster on Mon, 09/07/2007 - 8:40pm.

I checked the download and it worked fine for me too.


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