- Tytuł:
- Robust Optimisation Metaheuristics for the Inventory-Allocation Problem
- Autorzy:
-
Vizinger, Tea
Žerovnik, Janez - Powiązania:
- https://bibliotekanauki.pl/articles/578562.pdf
- Data publikacji:
- 2019
- Wydawca:
- Uniwersytet Ekonomiczny w Katowicach
- Tematy:
-
Dystrybucja
Optymalizacja
Programowanie stochastyczne
Distribution
Optimalization
Stochastic programming - Opis:
- As an example of a successful application of a relatively simple metaheuristics for a stochastic version of a multiple criteria optimisation problem, the inventory-allocation problem is discussed. Stochastic programming is introduced to deal with the demand of end consumers. It has been shown before that simple metaheuristics, i.e., local search may be a very competitive choice for solving computationally hard optimisation problems. In this paper, robust optimisation approach is applied to select more promising initial solutions which results in a significant improvement of time complexity of the optimisation algorithms. Furthermore, it allows more flexibility in choosing the final solution that need not always be minimising the sum of costs.
- Źródło:
-
Multiple Criteria Decision Making; 2019, 14; 128-143
2084-1531 - Pojawia się w:
- Multiple Criteria Decision Making
- Dostawca treści:
- Biblioteka Nauki
Artykuł