Improved Lagrangian bounds and heuristics for the generalized assignment problem
- Авторлар: Litvinchev I.1,2,3, Mata M.1,2,3, Saucedo J.1,2,3, Rangel S.1,2,3
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Мекемелер:
- Computing Center Russian Academy of Sciences
- Faculty of Mechanical and Electrical Engineering(UANL)
- Department of Applied Mathematics (UNESP)
- Шығарылым: Том 56, № 5 (2017)
- Беттер: 803-809
- Бөлім: Systems Analysis and Operations Research
- URL: https://journals.rcsi.science/1064-2307/article/view/219974
- DOI: https://doi.org/10.1134/S1064230717050070
- ID: 219974
Дәйексөз келтіру
Аннотация
Modified Lagrangian bounds are proposed for the generalized assignment problem. The approach is based on a double decomposable structure of the formulation. A family of greedy heuristics is considered to get Lagrangian based feasible solutions. Numerical results for problem instances with number of agents close to number of tasks are provided.
Авторлар туралы
I. Litvinchev
Computing Center Russian Academy of Sciences; Faculty of Mechanical and Electrical Engineering(UANL); Department of Applied Mathematics (UNESP)
Хат алмасуға жауапты Автор.
Email: igorlitvinchev@gmail.com
Ресей, Moscow; New Leon; Saint Paulo
M. Mata
Computing Center Russian Academy of Sciences; Faculty of Mechanical and Electrical Engineering(UANL); Department of Applied Mathematics (UNESP)
Email: igorlitvinchev@gmail.com
Ресей, Moscow; New Leon; Saint Paulo
J. Saucedo
Computing Center Russian Academy of Sciences; Faculty of Mechanical and Electrical Engineering(UANL); Department of Applied Mathematics (UNESP)
Email: igorlitvinchev@gmail.com
Ресей, Moscow; New Leon; Saint Paulo
S. Rangel
Computing Center Russian Academy of Sciences; Faculty of Mechanical and Electrical Engineering(UANL); Department of Applied Mathematics (UNESP)
Email: igorlitvinchev@gmail.com
Ресей, Moscow; New Leon; Saint Paulo