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• W2157002008 abstract "In this article we address the problem of scheduling a single project network with both precedence and resource constraints through the use of a local search technique. We choose a solution definition which guarantees precedence feasibility, allowing the procedure to focus on overcoming resource infeasibility. We use the 110-problem data set of Patterson to test our procedure. Our results indicate a significant improvement over the best heuristic results reported to date for these problems (Bell and Han [1]). Two major advantages of the local search algorithm are its ability to handle arbitrary objective functions and constraints and its effectiveness over a wide range of problem sizes. We present a problem example with an objective function and resource constraints which include nonlinear and non-continuous components, which are easily considered by the procedure. The results of our algorithm are significantly better than random solutions to the problem. © 1993 John Wiley & Sons, Inc." @default.
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• W2157002008 date "1993-08-01" @default.
• W2157002008 modified "2023-09-25" @default.
• W2157002008 title "Local search techniques for the generalized resource constrained project scheduling problem" @default.
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• W2157002008 doi "https://doi.org/10.1002/1520-6750(199308)40:5<665::aid-nav3220400509>3.0.co;2-j" @default.
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