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New Benchmark Results for the Resource-Constrained Project Scheduling Problem

Listed author(s):
  • Erik L. Demeulemeester

    (Department of Applied Economics, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000 Leuven, Belgium)

  • Willy S. Herroelen

    (Department of Applied Economics, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000 Leuven, Belgium)

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    This paper reports on new insights derived from computational results obtained with an updated version of the branch-and-bound procedure previously developed by Demeulemeester and Herroelen (Demeulemeester, E., W. Herroelen. 1992. A branch-and-bound procedure for the multiple resource-constrained project scheduling problem. Management Sci. 38 1803--1818.) for solving the resource-constrained project scheduling problem (RCPSP). The new code fully exploits the advantages of 32-bit programming provided by recent compilers running on platforms such as Windows NT ® and OS/2 ® : flat memory, increased addressable memory, and fast program execution. We study the impact of three important variables on the computation time for the RCPSP: addressable computer memory, the search strategy (depth-first, best-first, or hybrid), and the introduction of a stronger lower bound. We compare the results obtained by a truncated branch-and-bound procedure with the results generated by the minimum slack time heuristic and report on the dependency of its solution quality on the allotted CPU time.

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    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 43 (1997)
    Issue (Month): 11 (November)
    Pages: 1485-1492

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    Handle: RePEc:inm:ormnsc:v:43:y:1997:i:11:p:1485-1492
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