Synopsis
This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Apply Multi-pass Simulation and Genetic Algorithm to...
Image fournie par le vendeur
Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
impression à la demandeVendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool. 92 pp. Englisch. N° de réf. du vendeur 9783330820548
Acheter neuf
EUR 24,80
Expédition à EUR 23
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image d'archives
Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock. N° de réf. du vendeur 3330820543
Acheter neuf
EUR 46,99
Expédition à EUR 11,53
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
impression à la demandeVendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnYan-Ling Yin, Department of Management Information System,Associate Professor of National Defense University.KlappentextrnrnThis study uses multi-pass simulation and genetic algorithm (MPGA) techniques . N° de réf. du vendeur 509616489
Acheter neuf
EUR 22,98
Expédition à EUR 48,99
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9783330820548
Acheter neuf
EUR 24,80
Expédition à EUR 60
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool. N° de réf. du vendeur 9783330820548
Acheter neuf
EUR 24,80
Expédition à EUR 60,78
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching | Yin Yan-Ling | Taschenbuch | Englisch | 2017 | ¿¿¿¿¿¿¿ | EAN 9783330820548 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 120564092
Acheter neuf
EUR 23
Expédition à EUR 70
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)