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O. Eliezer, R. Levi, "A Hybrid Method for the Resource-Constrained Project Scheduling Problem with Hammock Activities", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 160, 2013. doi:10.4203/ccp.102.160

Keywords: project scheduling, metaheuristics, project management.

Summary

In this paper we present a new approach to solving the resource constraint hammock cost problem (RCHCP). The central element of this new algorithm is the 'sound of silence' (SoS) algorithm, developed by Csébfalvi. The main issue of this meta-heuristic algorithm is combining an NP-Hard problem with an LP problem, which can be solved within a reasonable time. With this paradigm, a near-optimal solution for large academic problems is quite easily obtained. The computational experiments show that using the SoS algorithm gives nearly three times better results than other state-of-art heuristics for the instance the J60 and the J120 and it is competitive with other state-of art heuristics for instance the J30.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 102 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: Paper 160 A Hybrid Method for the Resource-Constrained Project Scheduling Problem with Hammock Activities O. Eliezer¹ and R. Levi² ¹Zefat Academic College, Israel ²S & E Engineering and Project Management, Haifa, Israel doi:10.4203/ccp.102.160 purchase the full-text of this paper Full Bibliographic Reference for this paper O. Eliezer, R. Levi, "A Hybrid Method for the Resource-Constrained Project Scheduling Problem with Hammock Activities", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 160, 2013. doi:10.4203/ccp.102.160 Keywords: project scheduling, metaheuristics, project management. Summary In this paper we present a new approach to solving the resource constraint hammock cost problem (RCHCP). The central element of this new algorithm is the 'sound of silence' (SoS) algorithm, developed by Csébfalvi. The main issue of this meta-heuristic algorithm is combining an NP-Hard problem with an LP problem, which can be solved within a reasonable time. With this paradigm, a near-optimal solution for large academic problems is quite easily obtained. The computational experiments show that using the SoS algorithm gives nearly three times better results than other state-of-art heuristics for the instance the J60 and the J120 and it is competitive with other state-of art heuristics for instance the J30. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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