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Estimation of distribution algorithms for the multi-mode resource constrained project scheduling problem.

Ayodele, Mayowa; McCall, John; Regnier-Coudert, Olivier

Authors

Mayowa Ayodele

Olivier Regnier-Coudert



Abstract

Multi-Mode Resource Constrained Project Problem (MRCPSP) is a multi-component problem which combines two interacting sub-problems; activity scheduling and mode assignment. Multi-component problems have been of research interest to the evolutionary computation community as they are more complex to solve. Estimation of Distribution Algorithms (EDAs) generate solutions by sampling a probabilistic model that captures key features of good solutions. Often they can significantly improve search efficiency and solution quality. Previous research has shown that the mode assignment sub-problem can be more effectively solved with an EDA. Also, a competitive Random Key based EDA (RK-EDA) for permutation problems has recently been proposed. In this paper, activity and mode solutions are respectively generated using the RK-EDA and an integer based EDA. This approach is competitive with leading approaches of solving the MRCPSP.

Citation

AYODELE, M., MCCALL, J. and REGNIER-COUDERT, O. 2017. Estimation of distribution algorithms for the multi-mode resource constrained project scheduling problem. In Proceedings of the 2017 IEEE congress on evolutionary computation (CEC 2017), 5-8 June 2017, San Sebastian, Spain. New York: IEEE [online], article number 7969491, pages 1579-1586. Available from: https://doi.org/10.1109/CEC.2017.7969491

Conference Name 2017 IEEE congress on evolutionary computation (CEC 2017)
Conference Location San Sebastian, Spain
Start Date Jun 5, 2017
End Date Jun 8, 2017
Acceptance Date Mar 7, 2017
Online Publication Date Jun 5, 2017
Publication Date Jul 7, 2017
Deposit Date Apr 24, 2017
Publicly Available Date Apr 24, 2017
Publisher Institute of Electrical and Electronics Engineers
Article Number 7969491
Pages 1579-1586
DOI https://doi.org/10.1109/CEC.2017.7969491
Keywords Multicomponent problems; Activity scheduling; Mode assignment; Multimode resource constrained projecte problem (MRCPSP)
Public URL http://hdl.handle.net/10059/2284

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