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- W4294975881 abstract "In this paper some resource leveling problems for project scheduling under resource constraints are considered. In this problem activities of a project are to be scheduled in a way that all precedence and resource constraints are satisfied, and a given objective function describing the fluctuations of resource usage is minimized. Activities are nonpreemptable, and resources are renewable. Several various objective functions for the problem are analyzed. A genetic algorithm is proposed to solve this strongly NP-hard problem. The performance of the algorithm is examined and compared to other simple heuristics on a basis of a computational experiment performed on a set of standard benchmark instances." @default.
- W4294975881 created "2022-09-08" @default.
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- W4294975881 date "2022-08-22" @default.
- W4294975881 modified "2023-09-23" @default.
- W4294975881 title "Genetic Algorithm for Resource Leveling Problems under Various Objective Functions" @default.
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- W4294975881 doi "https://doi.org/10.1109/mmar55195.2022.9874286" @default.
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