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An optimal solution for the budgets assignment problem

Mahdi Jemmali

RAIRO - Operations Research2021https://doi.org/10.1051/ro/2021043article
AJG 1
Weight
0.64

What the paper says

Municipalities are service organizations that have a major role in strategic planning and community development that consider the future changes and society developments, by implementing set of projects with pre-allocated budgets. Projects have standards, budgets and constraints that differ from one community to another and from one city to another. Fair distributing of different projects to municipalities, while ensuring the provision of various capabilities to reach developmental role is NP-Hard problem. Assuming that all municipalities have the same strategic characteristics. The problem is as follows: given a set of projects with different budgets, how to distribute all projects to all municipalities with a minimum budget gap between municipalities. To derive equity distribution between municipalities, this paper developed lower bounds and eleven heuristics to be utilized in the branch-and-bound algorithms. The performance of the developed heuristics, lower bounds and the exact solutions are presented in the experimental study.

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https://doi.org/https://doi.org/10.1051/ro/2021043

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@article{mahdi2021,
  title        = {{An optimal solution for the budgets assignment problem}},
  author       = {Mahdi Jemmali},
  journal      = {RAIRO - Operations Research},
  year         = {2021},
  doi          = {https://doi.org/https://doi.org/10.1051/ro/2021043},
}

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An optimal solution for the budgets assignment problem

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Evidence weight

0.64

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.74 × 0.4 = 0.29
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.