Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897689148> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2897689148 abstract "AbstractThis chapter proposes a hybrid heuristic method combining a clustering search (CS) metaheuristic with an exact algorithm to solve a two-stage capacitated facility location problem (TSCFLP). The TSCFLP consists of defining the optimal locations of plants and depots and the product flow from plants to depots (first stage) and from depots to customers (second stage). The problem deals commonly with cargo transportation in which products must be transported from a set of plants to meet customers’ demands passing out by intermediate depots. The main decisions to be made are related to define which plants and depots must be opened from a given set of potential locations, which customer to assign to each one of the opened depots, and the amount of product flow from the plants to the depots and from the depots to the customers. The objective is to minimize costs satisfying demand and capacity constraints. Computational results demonstrate that our method was able to find good solutions when comparing it directly with a commercial solver and a genetic algorithm (GA) reported in a recent chapter found in the literature, requiring less than 1.5% and 41% of the computational time performed by these methods, respectively. Thus, our hybrid method combining CS with an exact algorithm can be considered as a new matheuristic to solve the TSCFLP." @default.
- W2897689148 created "2018-10-26" @default.
- W2897689148 creator A5013146764 @default.
- W2897689148 creator A5034251881 @default.
- W2897689148 creator A5053699018 @default.
- W2897689148 date "2018-11-12" @default.
- W2897689148 modified "2023-09-26" @default.
- W2897689148 title "Hybrid Heuristic Method to Solve a Two-Stage Capacitated Facility Location Problem" @default.
- W2897689148 cites W197064018 @default.
- W2897689148 cites W2007140719 @default.
- W2897689148 cites W2024060531 @default.
- W2897689148 cites W2067320236 @default.
- W2897689148 cites W2069344303 @default.
- W2897689148 cites W2069559103 @default.
- W2897689148 cites W2078286011 @default.
- W2897689148 cites W4214886405 @default.
- W2897689148 doi "https://doi.org/10.1108/978-1-78756-803-720181003" @default.
- W2897689148 hasPublicationYear "2018" @default.
- W2897689148 type Work @default.
- W2897689148 sameAs 2897689148 @default.
- W2897689148 citedByCount "0" @default.
- W2897689148 crossrefType "book-chapter" @default.
- W2897689148 hasAuthorship W2897689148A5013146764 @default.
- W2897689148 hasAuthorship W2897689148A5034251881 @default.
- W2897689148 hasAuthorship W2897689148A5053699018 @default.
- W2897689148 hasConcept C108005400 @default.
- W2897689148 hasConcept C109718341 @default.
- W2897689148 hasConcept C126255220 @default.
- W2897689148 hasConcept C154945302 @default.
- W2897689148 hasConcept C173801870 @default.
- W2897689148 hasConcept C177264268 @default.
- W2897689148 hasConcept C199360897 @default.
- W2897689148 hasConcept C2524010 @default.
- W2897689148 hasConcept C2776435737 @default.
- W2897689148 hasConcept C2778770139 @default.
- W2897689148 hasConcept C33923547 @default.
- W2897689148 hasConcept C41008148 @default.
- W2897689148 hasConcept C42475967 @default.
- W2897689148 hasConcept C73555534 @default.
- W2897689148 hasConcept C8880873 @default.
- W2897689148 hasConcept C90673727 @default.
- W2897689148 hasConceptScore W2897689148C108005400 @default.
- W2897689148 hasConceptScore W2897689148C109718341 @default.
- W2897689148 hasConceptScore W2897689148C126255220 @default.
- W2897689148 hasConceptScore W2897689148C154945302 @default.
- W2897689148 hasConceptScore W2897689148C173801870 @default.
- W2897689148 hasConceptScore W2897689148C177264268 @default.
- W2897689148 hasConceptScore W2897689148C199360897 @default.
- W2897689148 hasConceptScore W2897689148C2524010 @default.
- W2897689148 hasConceptScore W2897689148C2776435737 @default.
- W2897689148 hasConceptScore W2897689148C2778770139 @default.
- W2897689148 hasConceptScore W2897689148C33923547 @default.
- W2897689148 hasConceptScore W2897689148C41008148 @default.
- W2897689148 hasConceptScore W2897689148C42475967 @default.
- W2897689148 hasConceptScore W2897689148C73555534 @default.
- W2897689148 hasConceptScore W2897689148C8880873 @default.
- W2897689148 hasConceptScore W2897689148C90673727 @default.
- W2897689148 hasLocation W28976891481 @default.
- W2897689148 hasOpenAccess W2897689148 @default.
- W2897689148 hasPrimaryLocation W28976891481 @default.
- W2897689148 hasRelatedWork W1595340722 @default.
- W2897689148 hasRelatedWork W167806033 @default.
- W2897689148 hasRelatedWork W2003457692 @default.
- W2897689148 hasRelatedWork W2269669929 @default.
- W2897689148 hasRelatedWork W2300564671 @default.
- W2897689148 hasRelatedWork W2561257229 @default.
- W2897689148 hasRelatedWork W2607493116 @default.
- W2897689148 hasRelatedWork W2625535145 @default.
- W2897689148 hasRelatedWork W2885338039 @default.
- W2897689148 hasRelatedWork W2897689148 @default.
- W2897689148 isParatext "false" @default.
- W2897689148 isRetracted "false" @default.
- W2897689148 magId "2897689148" @default.
- W2897689148 workType "book-chapter" @default.